\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

\nA Bit about Us\n\nErgeon aims to become the #1 trusted provider of tech-enabled home services. We provide an amazingly better experience using software and data that enable our service personnel to be more effective and efficient. We are pioneering the tech-enabled home services space with a full-stack approach.\nOverview of the Role\nWe seek a smart and enthusiastic Senior Fullstack Engineer to join our development team. Your primary focus will be the development of robust, high-performance, customer-facing applications and features. This role encompasses both frontend and backend development, requiring a strong technical foundation in various technologies and the ability to mentor junior team members. You will be responsible for developing friendly and responsive UI components, working with our backend APIs, and optimizing apps for speed and responsiveness across multiple platforms.\nJoin us if you're a quick learner looking to grow your skills, collaborate with colleagues worldwide, and build a career developing innovative tech solutions that drive our company's success.\nResponsibilities\n\n\n* Lead the development and implementation of complex server-side logic and user-facing features, ensuring optimal performance and responsiveness across our platforms.\n\n* Architect scalable and robust backend solutions, including APIs, and collaborate on developing intuitive, responsive UIs.\n\n* Mentor junior engineers and frontend developers, guiding them in best practices, code quality, and technical decision-making.\n\n* Take ownership of the full product lifecycle, from initial concept through deployment and optimization, based on close collaboration with the Product and cross-functional teams.\n\n* Drive continuous improvement in our technology stack and development processes, advocating for best practices in software engineering.\n\n* Utilize AI tools such as ChatGPT to bring innovation to development processes and product features. Keep abreast of new AI technologies and suggest ways to integrate them into projects.\n\n\n\nDesired Skills and Experience\n\nMust have: \n\n\n* Extensive experience with Python, Django, and Django REST Framework.\n\n* Proficiency in full-stack development, including advanced skills in JavaScript, React, HTML, and CSS, along with a solid understanding of SQL.\n\n* Demonstrated ability to lead projects and mentor junior team members, with a successful team collaboration track record.\n\n* A strong commitment to user experience, with examples that showcase complex web-based applications delivered to end-users.\n\n* Excellent problem-solving skills and a deep understanding of computer science fundamentals.\n\n* Ability to work effectively in a remote, distributed team environment, with excellent communication skills and a willingness to engage in synchronous meetings during core hours.\n\n* Experience with or a strong interest in using AI platforms like ChatGPT for various development tasks.\n\n* Ability to leverage AI-assisted coding and development tools effectively while maintaining a critical understanding of their limitations and potential biases.\n\n* Willingness to explore and incorporate innovative applications of AI technologies in the development process.\n\n\n\n\n \n\nNice to have\n\n\n* Experience with React, Webpack, Jest, NodeJS, ThreeJS, and other modern frontend/backend technologies\n\n* Experience integrating AI models and APIs into applications for tasks like content generation, sentiment analysis, or data processing.\n\n* Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure)\n\n* Experience with containerization technologies (e.g., Docker, Kubernetes)\n\n* Knowledge of DevOps practices and tools (e.g., CI/CD, monitoring, logging)\n\n* Experience with 3D modeling, computer vision, or other advanced technologies\n\n* Experience with Scrum or other agile development process\n\n\n\n\n \nTechnical Requirements \n\n \n\nGood Laptop setup with Chrome browser\n\n\n* Minimum of 16GB RAM\n\n* Minimum processor:\n\n\n\n* Core i7+ for PC\n\n* AMD Ryzen 7\n\n* M1+ for Mac\n\n\n\n* Minimum of 4GB GPU memory\n\n\n\n\n \n\n Stable high-speed internet connection\n\n\n* At least 10mbps upload and 20 Mbps download\n\n\n\n\nHeadset\n\n\n* With a noise-canceling microphone\n\n\n\n\n Power backup\n\n\n* 250-300W UPS\n\n\n\n\n Data availability\n\n\n* Ability to access up to 1.5GB of data per day during storm outages\n\n\n\nCompensation\n\nAnnual salary between $67K- $83KUSD, depending on experience and location. \n\n\n* Your final compensation will depend on your placement on our Career Ladder and will be calculated hourly.\n\n* You'll be paid weekly through Upwork (www.upwork.com), the platform we choose to hire and pay our Ergeoneers worldwide.\n\n* Other payment methods are possible where Upwork is not available.\n\n\n\n\n\nAdditional Important Information\n\n\n\nLanguage\n\n\n* English: Yes - B1\n\n\n\n\n\n\nLocation\n\n\n* This is a 100% remote position, for people located in the following countries listed here.\n\n\n\n\n\nAvailability\n\n\n* This position is full-time, with expectations of at least 40 hours per week.\n\n* Availability Monday through Friday between 8:00 am - 5:00 pm US Central.\n\n\n\n\n \nErgeon’s benefits and perks for full staff members\n\n Competitive compensation: We invest in people! We are constantly doing worldwide market research to offer globally competitive salaries. And we are well-funded by VCs.\n\n  All-Remote since the beginning: We have a diverse team spread across 40+ countries. We stay connected through the best remote work practices such as flexible work hours, team events, remote happy hours, and by sharing our love of food!\n\n    Tech, Wellness & Learning fund: You can have a $400USD bonus per year for software and hardware tools, workplace improvements, fitness-related spending (includes things like yoga classes, Fitbit tracker, new running shoes, gym membership. . .), and books, courses, training, or even attending conferences.\n\n  Stock options: All staff is eligible after 6 months of full-time work.\n\n  Birthday Paid day off: You can take the exact day, or the Friday before if it is on a weekend!\n\n  Flexible Paid time off: You can take 12 days after working 6 months, PLUS 2 extra days per year for a maximum of 20 days.\n\n  Free Headset Benefit: You can get a noise-canceling headset from your first day working full-time.\n\n  Equipment: Laptop replacement after 1 year of full-time work. And every 3 years after that.\n\n   Co-Working Fund: Meet in groups of 3+ Ergeon friends and get reimbursed up to USD $20 for coffee, co-working, etc (once per quarter).\n\n  Language Classes: here at Ergeon you will have the opportunity to learn or improve a language!\n\n  Remote Health: Health insurance is essential for ensuring that our staff has peace of mind and access to help where and when they need it. Subsidized Health Insurance is available to all of our staff, no matter where they’re located.\n\n\n \n\nWe believe everyone has a right to professional growth and respect, no matter their location.\n\nErgeon’s workforce is given meaningful opportunities and is supported by a kind and diverse community.\n\nOur global staff (Ergeoneers) have access to career growth, amazing work culture, and great benefits.\nCome join us to transform the construction industry!\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Django, DevOps, Cloud, Senior, Junior, 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\nLagos, Lagos, Nigeria