\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

\nABOUT THIS POSITION \n\nDigital Extremes is seeking an experienced Senior VFX Artist to join our team. You will be utilizing traditional art training and knowledge of 3D art, design and computer graphics software to build efficient, high quality special effects while keeping in mind technical specifications relating to memory usage and gameplay speed. You will need to have an excellent understanding of what makes real time special effects work in addition to an understanding of game engines, tools, pipelines and development processes. Preferred extras include experience working with Maya, After Effects, Houdini, and Photoshop, as well as a thorough knowledge of the game development process. An understanding of scripting languages such as Python or Lua is also an asset.\n\nRESPONSIBILITIES \n\n\n* Utilize traditional art training and knowledge of 3D art, design and computer graphics software to build efficient, high quality special effects, keeping in mind technical specifications relating to memory usage and gameplay speed\n\n* Keep up-to-date with contemporary effects techniques and research new effects technologies and solutions\n\n* Cooperate closely with art, design, audio and development department to deliver first class visual effects that exceed the state of the art\n\n* Work under the creative guidance of the Art Director\n\n* Deliver work on time and according to schedule as prepared by the Art Director\n\n* Actively participate in the feedback loop including accepting feedback from and providing feedback within the art and level design team as required, staying current on the scope and understanding of the project\n\n* Multitask effectively, prioritize competing demands, and follow through on details\n\n\n\n\nREQUIREMENTS\n\n\n* 2+ years’ previous experience creating high quality VFX for video games\n\n* Excellent understanding of what makes special effects work - particle systems, postprocessing effects and shaders (specular and normal maps)\n\n* University degree in visual arts with specialization in graphic design, commercial art, graphic communications or cartooning or completion of a college diploma program in graphic arts\n\n* Understanding of game engines, tools, pipelines and development processes\n\n* Working knowledge of a commercial 3D package\n\n* Good communication skills across multiple disciplines; ability to follow direction and to collaborate successfully with others\n\n* Ability to handle and prioritize multiple tasks, to meet deadlines and to excel under production conditions\n\n* Strong work ethic, self-direction and artistic vision, dedicated work ethic\n\n* Have a genuine enthusiasm and interest in video games\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Video and Senior jobs that are similar:\n\n $50,000 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLondon, Ontario, Canada

NVIDIA is seeking an outstanding Solutions Architect to support customers that are building solutions with our latest graphics and visualization technologies. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with innovative software and hardware platforms. We are looking to grow our company and build our teams with the most resourceful people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers, work on exciting projects, and run proof-of-concepts focused on the latest SDKs and APIs in the NVIDIA portfolio. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! What you will be doing: Working closely with customers to help them build and embrace solutions using NVIDIA technology Partnering with engineering, product, and business teams to understand their strategies and technical needs to help define high-value solutions Engaging with developers, engineers, and end users to gain exposure to a diverse range of experiences Strategically collaborating with major customers and partners targeting our computing platform Some travel may be required for this role, you are empowered to find the best way to support and make our customers successful What we need to see: Undergraduate degree in engineering, media related studies, or equivalent experience Expertise with system administration on both Windows and Linux Proven problem-solving and debugging skills Strong programming skills, Python preferred Excellent presentation, communication, and team building skills 5+ years meaningful work experience Ways to stand out from the crowd: Professional experience with 3D application workflows Experience with CUDA and C/C++ programming Working knowledge of Docker and Kubernetes Hands-on application integration experience, primarily with NVIDIA SDKs such as Maxine, ACE, CloudXR, and RIVA The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker and Travel jobs that are similar:\n\n $130,000 — $140,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Remote

\nQ Bio is building technology for the Physical of the Future that measures more, faster and cheaper about the human body, to enable proactive primary care for all. We're revolutionizing primary care with the first clinical digital twin platform, powered by breakthrough whole-body scanning technology, that highlights the most important changes in a person’s physiology for sharing with physicians and specialists anywhere in the world. \n\n\nJoin us!\n\n\nQ Bio’s clinical digital twin platform, Gemini, is the first to capture and monitor comprehensive baseline patient health in a scalable virtual model. The Gemini Dashboard highlights the most important chemical and anatomical changes in an individual weighted by an individual’s lifestyle, genetic and medical history, that can be securely shared with physicians and specialists all over the world.\n\n\nGemini is powered by the fastest, most accessible, whole body scanner developed: the Mark I. Self-driving and optimized for primary care, the Mark I can complete a whole-body scan in 15 minutes or less in an open space, without radiation, breath holds, or claustrophobia. Patient comfort is maximized with the option to sit, stand, or lie down, and real-time telemetry is displayed throughout.\n\n\nWhy should you consider a career with Q Bio? \n\n\nWe dream big. Our team is aligned and excited about the opportunity to save lives and understand the human body like never before. We know how critical empowering and supportive leadership is, both to our excellence as a company, and for our team experience as a whole, and our leadership team will empower and support career growth. We’re a team of engineers, scientists, and operators who come from a diverse background of disciplines and experiences. We value teamwork, growth, determination and persistence, commitment to collaboration, and a reliance on staying nimble while keeping the big picture in mind. \n\n\nAs Senior Software Engineer on User Apps, you will be responsible for building our next generation consumer facing web applications, and take charge of improving the design system, component library and all frontend-related tooling. You’ll be working directly with our scanner and Digital Twin platform, producing APIs and services that visualize 3D human body and biomarkers from the genome and biological systems data to enhance patient and developer experiences.\n\n\n\nQualifications\n* Degree in computer science or related field, or equivalent work experience\n* 5+ years of professional software engineering experience developing full-stack commercial web applications\n* Expert in Javascript/Typescript, HTML, CSS, and modern web frameworks (React, Angular, Ember, etc) \n* Detail-oriented and good Craftsmanship. Understands usability and accessibility principles. Can translate design into functional, user-friendly and high performing interfaces\n* Proficient in Python and/or other OOP languages, and RESTful API frameworks such as Flask/DjangoFamiliar with cloud-native applications, microservices, event sourcing, relational and non-relational databases (mysql, redis, etc.)\n* Familiar with building and deploying applications on cloud services like AWS, Azure, GCP\n* Excellent communication and teamwork skills\n* Thrives in a fast-paced, collaborative environment involving different stakeholders and subject matter experts\n\n\n\nNice to Have\n* Prior experience in building complex, data-intensive web applications, using modern web frontend and backend technologies \n* Experience with data visualization libraries such as D3, three.js\n* Experience with design systems, building UI component libraries\n\n\n\n\n\nIn the San Francisco Bay Area, the standard pay range for this role is $160,000-$190,000 annualized. This pay range is for the San Francisco Bay Area and is not applicable to locations outside of this location or for remote roles. Actual amounts will vary depending on experience, performance, and work location. In addition to a competitive base salary, we offer significant equity and an employee-friendly stock option plan. Employees will also be eligible to participate in benefits plans available to other similarly situated employees subject to any eligibility requirements imposed by such plans.\n\n\nQ Bio was founded in 2015 by serial entrepreneur Jeffrey Kaditz, Dr. Michael Snyder, Chair of Genetics and Director of Personalized Medicine at Stanford University, and Dr. Garry Choy, physician, radiologist, and former Chief Medical Information Officer at Mass General Hospital. Q Bio has raised over $80M from world class investors including Andreessen Horowitz, Kaiser Foundation Hospitals, Khosla Ventures, Founders Fund, SciFi VC, and many more.\n\n\nQ Bio is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Carlos

\n\n\nJob Title: Senior Facial Character TD (Senior Character TD)  \n\n \n\n\nSummary: Responsible for authoring facial rigs from scratch or utilizing a variety of high-resolution scan-data; participate in facial research & development efforts; pioneer and recommend new tools, techniques and technology for pushing visual boundaries, performance and efficiency. Responsible for a strong understanding of FACS and facial anatomy, as well as cutting edge approaches to facial technology. \n\n \n\n\nEssential Duties and Responsibilities include the following:  \n\n\n\n\n* \n\nAuthors high quality photorealistic facial rigs based on FACS using blendshapes \n\n\n* \n\nAuthors rigging systems to augment or support blendshape-based facial rigs \n\n\n* \n\nAuthors or contributes to systems/workflows for integrating head and body rigs \n\n\n* \n\nCollaborates with Character Art, Animation, and Engineering teams to deliver the highest quality assets with animator/mocap friendly interfaces that run smoothly in engine  \n\n\n* \n\nContributes to tools for authoring and editing facial rigs (python/pyqt/pyside) \n\n\n* \n\nContributes to automated tools and workflows for runtime optimization  \n\n\n* \n\nContributes to tools for ingesting 3rd party facial rigs \n\n\n* \n\nContributes to facial animation systems such as facial solvers and R&D (python/C++/Machine Learning)  \n\n\n\n\n\n\n\n\n\n\n* \n\nSculpts FACS (from scratch if necessary) using deformers and/or sculpting tools \n\n\n* \n\nProcesses and cleans 3D or 4D scan data from FACS sessions \n\n\n* \n\nKeeps up with state-of-the-art approaches to facial rigging for photorealistic characters in film and games \n\n\n* \n\nHas strong understanding of facial shape transfer techniques and ability to implement shape transfer pipelines \n\n\n* \n\nMay be asked to direct actors through FACS during facial acquisitions \n\n\n* \n\nMay ingest and integrate facial assets from 3rd parties \n\n\n* \n\nMay be expected to maintain relationships and provide feedback to external vendors \n\n\n* \n\nOther duties may be assigned  \n\n\n\n\n\n\n\nSupervisory Responsibilities:  This role has no supervisory duties but may mentor other TD’s with regard to facial mechanics, rigging, sculpting, or solving techniques. \n\n \n\n\nQualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n \n\n\nEducation/Experience: Bachelor's degree (B.A.) from a four-year college or university; or five to seven years related experience and/or training; or equivalent combination of education and experience. One to four years of experience in character setup, Python scripting, a familiarity with MEL and a comprehensive understanding of all technical aspects of Maya animation. One to two years of animation training covering all basic animation principals.  \n\n \n\n\nLanguage Skills: Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents.  Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.  Ability to write speeches and articles for publication that conform to prescribed style and format.  Ability to effectively present information to top management, public groups, and/or boards of directors. \n\n \n\n\nMathematical Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and linear algebra and trigonometry.  Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. \n\n \n\n\nReasoning Skills: Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. \n\n\n\nComputer Skills: Expert-level experience with Maya. Experience sculpting details with ZBrush, Mudbox, or comparable; processing scan data with Wrap3 or comparable; with deformation transfer workflows. Preferred experience with machine-learning based solutions for facial scanning/authoring/solving (TensorFlow, PyTorch, etc); authoring plugins that aid in facial deformation transfer or solving (python or C++); and working with faces in realtime (Unity, Unreal or other). \n\n\n\n\nOther Skills: Strong understanding of state-of-the-art approaches to rigging photorealistic faces for film or games; of FACS, how it relates to facial anatomy, and ability to identify primary action units on sight; Understands current approaches to facial performance capture & solving; of modern approaches to scanning including lightstage and 4D scanning \n\n\n\nExpert understanding of facial skeletal and muscle anatomy; Passion for achieving highest quality detail through iteration and refinement. Ability to think outside the box to achieve more realistic solutions or optimize runtime performance. Passion for collaborating and sharing knowledge across teams.  \n\n\n\nPhysical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n \n\n\nWhile performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel. The employee is frequently required to sit and talk or hear. The employee is occasionally required to stand and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. \n\n \n\n\nWork Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  The noise level in the work environment is usually quiet.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Education, Senior and Legal jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBurbank, California, United States

\nWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n\n\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nYou will...\n- Contribute to Waabi’s cutting edge AV stack and data-driven simulator.\n- Build and own robust, petabyte-scale ETL pipelines for ingesting and aggregating multi-sensor data to produce the maps leveraged both by Waabi World, as well by our autonomy software.\n- Be part of a team of multidisciplinary Engineers, Research Scientists, and Product Managers using an AI-first approach to enable safe self-driving at scale.\n- Interact with all areas of autonomy and simulation, many of which will be direct customers of maps.\n- Have the chance to learn about, and integrate numerous cutting-edge ML models into various stages of Waabi’s data pipelines: semantic segmentation, automated map annotation, 3D surface reconstruction, etc.\n- Collaborate closely with other teams including research scientists, ML and software engineers, and system engineers to understand use cases and deliver features that improve our overall data ecosystem.\n- Bring your expertise to provide technical leadership and mentorship to other engineers, and contribute to org-wide data architecture decision-making.\n- Assist in project roadmap planning, prioritization, and delivery.\n\n\nQualifications:\n- 5+ years of experience in developing and maintaining high-performance production data pipelines, including deep understanding of cloud infrastructure and cloud storage services like AWS S3, Google Cloud Storage, and Azure Blob Storage.\n- Solid coding proficiency and knowledge in Python and a compiled language like C++ or Rust.\n- Solid understanding of cloud job orchestration, monitoring, and instrumentation best-practices.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.\n\n\nBonus/nice to have:\n- Experience writing production software in Rust.\n- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks like Apache Beam/Apache Airflow/Google Dataflow.\n- Familiarity with robotic sensor (LiDAR, camera) data.\n- Good documentation and technical writing skills.\n- Experience working in an Agile/Scrum environment.\n\n\n\n\n\nThe US yearly salary range for this role is: $129,000 - $238,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.\n\n\nPerks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n\n\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nToronto, CAN, San Francisco, CA & Remote - US & Canada

\nWho are we?\n\n\nMeshcapade is the 3D digital human company. We are creating realistic human avatars for use in apparel, games, fitness, AI, and augmented reality. Using machine learning and computer vision, we model the nuances of human body shape and movement. We automatically convert photos, 3D & 4D scans, RGB-D sequences, Mocap and even words into realistic 3D humans. We are a spin-off from the Max Planck Institute for Intelligent Systems in Tübingen, Germany and our products are powered by state of the art, patented research. Our core product, Meshcapade Me, is an online platform for the creation, animation, and use of 3D digital humans. Our clients run the gamut of global names; a broad mix of tech, media, health and fitness, apparel, and education.\n\n\nWe are looking for a highly experienced back-end engineer to join our team. You will be responsible for the server-side web application logic as well as for the maintenance and seamless integration of the front-end. The successful candidate will be able to demonstrate a track record of outstanding backend development experience. We are a small startup and every member of our team is expected to pitch in where necessary, up to and beyond the edges of their wheelhouse. We're looking for someone who will speak their mind with the confidence which experience brings.\n\n\n\nWhat you will be doing:\n* Develop and maintain core pipeline applications, APIs and services\n* Build infrastructure and interfaces that are maintainable, flexible and scalable\n* Communicate with frontend engineers about API requirements and refinements\n\n\n\nWho you are:\n* Good knowledge of Go and/or Python as well as proficiency in Linux\n* Experience of working with AWS infrastructure\n* Good experience of Linux Containers and Docker\n* Experience with version control, CI/CD and testing frameworks\n* Excellent understanding of software architecture and build tools\n* Great communication and team working skills\n* Excellent problem solving and troubleshooting abilities\n* BSc in Computer Science or Engineering, or equivalent industry experience\n\nBonus Skills \n* Good knowledge of Python and Rust\n* A background in a DevOps role would be an advantage\n* Experience with web technologies including REST, HTML 5 and CSS\n* Experience in Machine Learning frameworks such as TensorFlow or PyTorch\n* Experience with 3D animation applications\n\n\n\nTalent Acquisition Process:\n* Interview with our Talent Acquisition team;\n* Interview with the Engineering team members;\n* Technical Assessment;\n* Debrief and interview with stakeholders;\n* Meeting with our CEO\n\n\n\nWhat we offer:\n* A competitive compensation package;\n* Full remote working support;\n* An entrepreneurial team passionate about creating the technology to power the world's avatars;\n* Opportunity to work with an internationally diverse team;\n* Great perks (autonomy, flexible working hours, hardware budget, co-working space allowance and team events).\n\n\n\n\n\n\nDiversity isn’t just a statement at Meshcapade, it sits at the core of the company.\n\n\nWe believe in the diversity of thought because we appreciate that this makes us stronger. Therefore, we encourage applications from everyone who can offer their unique experience to our collective achievements. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, DevOps, HTML, API, Engineer, Linux and Backend jobs that are similar:\n\n $52,500 — $107,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nTübingen

\nWe’re seeking a driven artist to help expand the Destiny universe through spectacular visual effects!\n\nThe ideal candidate brings a passion to learn advanced technical and artistic skills. The candidate understands how to work with a team and will be expected to learn the challenges of modern AAA game development to produce stunning in-game visual effects that support gameplay, cinematics, and environments.\n\nRESPONSIBILITIES \n\n\n* Work closely with the VFX Lead to author effect assets that enhance gameplay and storytelling\n\n* Use proprietary tools, Photoshop and 3D Studio Max to create effects that balance the visual goals of the project with the performance demands of the game engine\n\n* Meet the quality bar established by the Art Director and Lead Artist\n\n* Collaborate with the Art Lead, Concept, HS, Design, Engineering, and Animation on visuals, functions, style, limitations, etc.\n\n* Help develop Destiny’s visual language through the craft of visual effects\n\n* Participate in constructive critiques, giving and receiving feedback\n\n* Mentorship of junior artists\n\n\n\n\nREQUIRED SKILLS\n\n\n* Experience working as a VFX Artist on a shipped game title (AAA), or equivalent\n\n* Experience with node based shaders\n\n* Be able to break down a visual effect into component content-types (particle FX, shader FX, mesh FX, post-process, animation, decal, lighting, etc.) and choose the right tools for the job\n\n* Understands the principles of real time visual effects\n\n* Understanding of Art and Visual Design fundamentals (color theory, etc.)\n\n* Familiarity in Photoshop and 3D packages\n\n* Ability and willingness to follow direction, collaborate productively with others, and work to meet deadlines as necessary\n\n* A portfolio or demo reel that demonstrates expert artistic and technical skills, as well as a firm grasp of timing and scale\n\n* Technically proficient, able to identify and collaborate on pipeline innovations\n\n* A dedicated interest for games\n\n\n\n\nNICE-TO-HAVE SKILLS    \n\n\n* Programming or scripting experience in any language (C++ / Python / HLSL)\n\n* Animation background\n\n* Experience with Houdini, Fume FX, Maya fluids tools, or Substance Designer\n\n* Effective communication skills, and the ability to work well in a team environment\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Node, Senior, Junior and Non Tech jobs that are similar:\n\n $60,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBellevue, Washington, United States

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\nYou will...\n- Build the self-driving engineering foundations of our long-term mapping infrastructure. \n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Identify requirements, schedule and deploy projects for the next generation technologies for self-driving initiatives.\n- Build and automate global-scale maps.\n- Utilize Human-in-the-loop ML methods to automate map building; custom labeling, data annotation tools.\n- Apply state-of-the-art machine learning and computer vision techniques to extract information from raw data.\n- Develop, maintain and improve map change detection and map updates.\n- Engineer real-time scalable, highly-available map serving for a fleet of self-driving vehicles.\n- Integrate with simulation autonomy software.\n\nQualifications:\n- Minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.\n- Solid coding proficiency in Python and C++.\n- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. \n- Experience with cloud platforms (e.g., AWS/Azure/Google Cloud).\n\nBonus/nice to have:\n- Interest working in a Machine Learning environment (e.g., PyTorch, PyTorch3D, scikit-learn).\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.\n- Interest and experience with geospatial systems (QGIS, ArcGIS) and 3D geometry.\n- Experience working on infrastructure cloud platforms (e.g., AWS, GCP).\n- Experience with large-scale data processing systems (e.g., Apache Spark, Airflow).\n- Experience with Deep learning frameworks such as PyTorch and TensorFlow.\n- Experience with automated testing.\n- Experience working in an Agile/Scrum environment.\n\nPerks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Python, Senior, Engineer and Apache jobs that are similar:\n\n $80,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nToronto, CAN, San Francisco, CA & Remote - US & Canada

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\n• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\n• Effectively articulate best practices for instrumenting machine learning pipelines to our customers \n• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\n• Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \n• Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\n• Develop and refine product documentation\n• Develop sample projects that can run seamlessly on the platform\n• Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\n• Actively use Gradient features in a variety of scenarios to provide internal product guidance\n• Contribute ideas and feedback and help prioritize feature requests and bug fixes\n• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\n• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\n• Keep the organization apprised of new developments in applied & theoretical ML\n• Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\n• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\n• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\n• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\n• Excellent communication and presentation skills, both written and verbal\n• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\n• Ability to break down complex problems and resolve them through customer consultation and execution.\n• Experience with cloud platforms (AWS, GCP, Azure)\n• Experience with Linux/Unix\n• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\n• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\n• Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\n• Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\n• Writing easy-to-follow code and effective documentation for your projects\n• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\n• Strong writing and data visualization skills\n\nStrong Plus\n\n• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \n• Experience with hyperparameter optimization solutions\n• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\n• Experience with data pipeline tools\n• Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\n• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine • learning more accessible, transparent, and collaborative\n• Experience contributing to architecture and systems design\n• Teaching experience\n\nWhy join us? \n\n• Top-tier machine learning teams rely on our tools for their daily work\n• This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\n• Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\n• A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Machine Learning, Senior, Marketing, Sales, Engineer, Front End, Teaching, Python and SaaS jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nAbout the role\n\nThe Cloud Platform team is responsible for the infrastructure and services that make up Paperspace’s cloud. The team manages our hardware infrastructure, internal networks, and user-facing products such as shared file system service, object store, managed Kubernetes, VPCs, and compute. The team’s goal is to provide a reliable and scalable platform so that both users and Paperspace can run their applications easily and reliably.\n \nAs a Staff Engineer, you’ll contribute your technical leadership and expertise to release and maintain high-quality products at Paperspace. In collaboration with fellow engineers, product managers, and designers, you’ll be working on hard problems that will greatly impact the business. In addition, you will work to maintain and shape engineering standards through mentorship, cross-team collaboration, and leading by example.\n\nWhat we're looking for\n\n• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling infrastructure using engineering practices with languages such as Python or Go\n• Fluency in working with config management tools (Ansible, Salt, Puppet, Chef) and infrastructure management tools (Terraform or Pulumi) to support immutable infrastructure\n• Experience with metric-driven monitoring and alerting using Prometheus or another monitoring system\n• Experience with networking and large-scaled storage architectures\n• Familiarity with Kubernetes automation, monitoring, stability, and security including tools like helm and customize\n• Experience shipping high-quality products from planning to launch to maintenance\n• Proven experience collaborating across teams ranging from platform and infrastructure to product and marketing\n• Ability to make trade-offs effectively in regards to both engineering and product requirements, while also effectively balancing short term and long term needs\n\nWhat you'll be doing\n\n• Be a leader in the areas of reliability, scalability, developer experience, and system observability on the Cloud Platform team\n• Architect and consult on infrastructure needs to move products forward with a focus on reliability, scalability, and observability\n• Automate all parts of our internal and user-facing infrastructure and systems to minimize manual intervention and to create clear, sustainable team run processes\n• Work with fellow engineers to find ways to address their infrastructure needs and provide self-service tools to empower them\n• Manage and improve our Ceph based storage system across multiple regions\n• Automating and maintain our software-defined network products and ensure reliability\n• Facilitate a sustainable software delivery process using tests, code reviews, and best practices\n• Build relationships with engineers and mentor on productivity and best practices from a technical perspective\n• Working with other teams to find a well-balanced implementation for products\n\nWhat to expect\n\nIn your first month, you will be hitting the ground running as you join the Engineering Team. You’ll be learning about our engineering workflows, technical architecture, and current product/business initiatives. In parallel, you’ll be making small to moderate code changes, engaging in the code review process, and developing relationships with your immediate team and other teams. As you develop a mental model of the product, technical architecture, and business, you will start to steward engineering initiatives that can positively impact the product and across the organization.\n\nIn subsequent months, you will be an active technical leader committing large features to the code base, managing releases, and driving the product and business forward in your area. You will also be facilitating the sustainable delivery of high-quality code with your team and are actively working on initiatives to help elevate the engineering organization as a whole.\n\nWho you’ll be working with\n\nPhilip Reichenberger - VP of Engineering\nPhilip is responsible for the health of the engineering organization at Paperspace. He works to ensure a healthy balance of velocity and quality while empowering teams to be full owners of the products they build. Before Paperspace, he led Web Operations at Shutterstock to a successful IPO, led engineering at Server Stack (now Digital Ocean), and founded a few startups in ad tech, e-commerce, hospitality, and wireless technologies. While not at work, he is on the water rower, playing guitar, or playing board games.\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Engineer, Developer, Digital Nomad and Python jobs that are similar:\n\n $70,000 — $130,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City

We value well-tested, reusable designs and expect our engineers to be as good of practitioners as they are leaders and teachers.  \n\nAbout This Role \n\nVery is a remote-first company, meaning we don’t have a physical office, and you can work from anywhere in the continental United States. Whether you feel like moving or not, you don’t have to change jobs. As a Senior Hardware Integrations Engineer, you will work with our Hardware Practice Lead and other hardware engineers to deliver high-value electro-mechanical system designs to our clients.  Our goal is to rethink and retool the hardware engineering process to align it with modern software, design and data science development methods (we’re already making headway thanks to an awesome framework called Nerves). For this role we’re looking for polymath engineers who are just as comfortable working in MCAD as they are with ECAD. Some of the traits we are looking for include: \nPrevious experience designing electro-mechanical systems (3+ years)\nKnowledge of Design for Manufacturing (DFM) practices for electrical and mechanical\nFamiliarity with:\n *Microprocessors, microcontrollers, IoT communications protocols, and common sensors\n *Hardware prototyping tools (3D printers, soldering, oscilloscopes, electronic loads, etc)\n *Low-level embedded firmware and/or embedded Linux\n *Data collection techniques  \n\nWhat You’ll Be Working On \n\nVery has been a remote company since before it became normal — 2011, to be exact. We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right. In 2020, we were named one of Inc’s Best Workplaces, Parity.org's Best Companies for Women to Advance List, and Fatherly’s Best Places to Work for Dads. Clients like Vizio, Clear, iHeartRadio, Complex Media, Shopkeep, and more come to us for answers to their thorniest questions. We bring them a world-class product team that delivers end-to-end IoT solutions. \n\nThe Hardware Integrations Engineer plays a key role in our multidisciplinary Agile development practice. Your responsibilities will include: \n\n * Driving our Agile practice through continuous pairing and idea generation with our team of Mechanical and Electrical engineers\n* Providing review and feedback of electrical schematics and board layouts, as well as CAD designs and 2D mechanical drawings\n * High-cadence rapid prototyping in order to build, test and break hardware early and often in the design cycle\n * Helping to develop an automated integration toolset to improve the speed at which Mechanical and Electrical changes can be reviewed and merged into the design\n * Interacting with clients and turning their vision into functional, manufacturable hardware\n * Owning the path to manufacturing on your programs by interacting with manufacturers, suppliers, and compliance testing labs on behalf of the client\n\nThe ideal candidate should have some mix of experience with the following:\n\n* Microprocessors and microcontrollers\n* Sensors\n* Soldering\n* Oscilloscopes, electronic loads, and other electronic test equipment\n* Electro-mechanical integration and assembly\n* Designing for and operating 3D printers\n* Electrical and mechanical design for manufacturing\n* Injection molding\n* IoT devices\n\nIn short, you'll spend your time ensuring that the hardware systems we ship for our clients meet the high quality level associated with the Very brand.\n\nOur Current Tooling \n\nOur IoT contracts usually involve a full service hardware and software solution. To bring the hardware from concept to reality we often use the following tools/languages: \n \n* KiCAD\n * Onshape\n * Voltera PCB Printer\n * FFF and SLA printers\n * Embedded C/C++\n * PlatformIO for embedded C/C++ projects\n * Python for scripting and build automation.\n * Github \n\nYou don't need to be an expert in all these tools, but, since you’ll be using them to prototype and test, familiarity is a plus.  Our multidisciplinary build teams are tight knit, and you will certainly encounter these stacks throughout your time here.\n\nRequired Qualifications \n\nUnfortunately, applicants who do not meet these criteria will not be considered.\n * BS or higher in a related engineering field (Electrical Engineering, Mechanical Engineering, etc)\n * 3+ years of relevant experience\n * Primary residence in the continental US (to facilitate overnight shipping to our clients and the majority of our team). \n\nHow You’ll Be Compensated \n\nDon't have your own lab equipment? Don't worry! Very is willing to help get you up and running. We’ll get you everything you need to set up a home lab and be effective in your role. This includes rapid prototyping tools, electrical test equipment, and the supplies needed to quickly build and test electro-mechanical prototypes. We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $75,000 and $105,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits including reimbursement for home office equipment.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Quality Assurance, Senior, Engineer, Full Stack and Python jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n