\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

\nWant to help us, help others? We’re hiring! \n\nGoFundMe is a global community of over 150 million people who come together every day with the common purpose of helping one another. Our mission is to help people help each other through our best in class technology. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, we have empowered people and organizations to raise more than $30 billion since 2010. Our vision is to become the most helpful place in the world.\n\nJoin us! The GoFundMe team is searching for a Data Science Manager to manage a growing team of data scientists. As a leader on the Data Insights team you will lead and develop a growing team, promote a data-driven culture and help develop and execute data-driven strategies for the organization.\n\nCandidates considered for this role will be located in the following location: San Francisco, CA\n\nThe Job…\n\n\n* Manage and mentor a team of data scientists, fostering a culture of innovation, collaboration, and continuous learning\n\n* Shape and implement a data-driven strategy that aligns with business goals, ensuring the data science efforts directly impact key company objectives\n\n* Manage the end-to-end lifecycle of data science projects, from ideation and scoping to deployment and iteration, ensuring timely and successful delivery\n\n* Lead the development of advanced predictive models and machine learning algorithms to forecast trends, optimize processes and inform strategic decisions\n\n* Guide the organization through the implementation of advanced experimentation techniques, with A/B testing and beyond\n\n* Work with product, engineering, marketing and business teams to integrate data science solutions into products and operations, driving cross functional success\n\n* Work closely with stakeholders at all levels to scope projects, prioritize tasks, and deliver high-impact data science solutions solutions\n\n* Encourage the exploration of cutting-edge data science techniques while balancing the need for practical, business-focused solutions that deliver measurable impact\n\n\n\n\nYou…\n\n\n* 7+ years experience as a data scientist or similar role\n\n* 2+ years experience managing a team\n\n* Proficiency in data science methodologies, including machine learning, statistical modeling, advanced experimentation and causal inference with hands on experience in Python and SQL\n\n* Ability to align data science initiatives with broader business goals, translating complex data insights into actionable strategies\n\n* Demonstrated success in managing the full lifecycle of data science projects, from conception to implementation, with strong organizational and time-management skills\n\n* Familiarity with machine learning methods (regression, classification etc) and ability to translate research into actionable models\n\n* Excellent communication skills with the ability to convey complex data insights to both technical and non technical stakeholders\n\n* Experience working cross functionally with product, engineering, marketing and business teams to integrate data science solutions into broader business processes\n\n* A creative thinker with a passion for using data to solve complex business problems, continually seeking out new methodologies and tools to enhance the team’s capabilities\n\n\n\n\nWhy you’ll love it here...\n\n\n* Market competitive pay.\n\n* Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee-only plans and 85% for employee + dependent plans) and employer HSA contributions. \n\n* 401(k) retirement plan with company matching.\n\n* Hybrid workplace with fully remote flexibility for many roles.\n\n* Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses.\n\n* A variety of mental and wellness programs to support employees.   \n\n* Generous paid parental leave and family planning stipend.\n\n* Company provided life and disability coverages.\n\n* Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday.\n\n* Learning & development and recognition programs.\n\n* “Gives Back” Program where employees can nominate a fundraiser every week for a donation from the company.\n\n* Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.\n\n* Employee resource groups.\n\n* Your work has a real purpose and will help change lives on a global scale.\n\n* You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. \n\n* We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.\n\n* We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!\n\n\n\n\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\n\nThe total annual salary for this full-time position is $190,000 - $260,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. 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 based on your location during the hiring process. \n\nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected]. \n\nDedication to Diversity \n\nGoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.\n\nOur diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.\n\nGlobal Data Privacy Notice for Job Candidates and Applicants:\n\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \n\nLearn more about GoFundMe:\n\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘23 annual report.\n\nOur annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\n\nFor recent company news and announcements, visit our Newsroom. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Recruiter, Education and Marketing jobs that are similar:\n\n $40,000 — $70,000/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 Francisco Bay Area, California, United States

\nCompany Overview\n \nFanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. \n \nAs a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.\n \n\n\nThe base salary range for this role is $116,000 to $210,000 per year, depending on job-related knowledge, skills, and experience. This role is eligible for the Fanatics Betting and Gaming annual bonus program and an equity award. *Salary range is listed in USD; ranges will change based on country of residence.\n \nIn addition to the base, bonus, and equity, full-time employees are eligible for Medical, Dental, Vision, 401K, paid time off, and other benefits like GymPass, Pet Insurance, Family Care Benefits, Free Shipt deliveries, and more. We’ll also give you $500 to set up your home office!\n \nFor information about our benefits, please visit https://benefitsatfanatics.com/.\n\n\nOverview \nAs a Software Engineer III - Test at Fanatics Betting & Gaming (FBG), you are here to be part of our tools and frameworks team. This role reports to our Director of Engineering and is responsible for leading efforts around defining, implementing, training, and executing against our engineering strategy, creating processes, and building automation tools and frameworks within Fanatics Betting and Gaming. This role will span across the entire breadth of Fanatics Betting and Gaming, playing a key role in ensuring the health and quality of all our platforms and products.\n\n\n\n\n\nResponsibilities\n* As a Software Engineer III - Test on this team, you will be helping with test automation and infrastructure development, test new design and architectural choices which have a significant impact on our systems, our business, and most importantly, our customers\n* Partner with Engineers, and QA Automation Engineers to define and build scalable, robust automation frameworks & tools & platforms to support web, mobile, API, and performance testing needs across teams\n* You will be working with extremely passionate people who care about their customers and want to deliver solutions that improve customer productivity for complex workflows\n* Build a world-class automation infrastructure for test automation and CI/CD\n* Build strong relationships with internal stakeholders, inside and outside of Engineering, and collaborate with leaders to gather and present testing metrics and activities.\n* Provide leadership and technical expertise within the Quality Engineering team.  \n* Must be open to occasional travel to events and Bet Fanatics offices for various offsite and team meetings.\n\n\n\nQualifications\n* Understanding of the test infrastructure and pipeline\n* Experience with building, supporting, maintaining, and scaling automation in a CI/CD environment\n* Experience with Git, Unix/Linux, Docker, and at least one modern testing framework(like PyTest), and familiar with other common web and mobile testing frameworks.\n* Proficient in Python and/or Java development with experience in automated testing frameworks, tools, services, and physical devices\n* Knowledge of best practices & methodologies for Testing, Automation, and DevOps.\n* Demonstrated ability to partner closely with the engineering team and help implement appropriate tools and practices that balance quality with productivity. \n* Highly outcome-oriented and data-driven.\n* Deal well with ambiguous/undefined problems; ability to think abstractly\n* Experienced in Agile or Scrum software development methodologies\n* Positive and flexible attitude to work in a fast-paced environment and a willingness to embrace new initiatives.     \n* Prior experience in the betting and gaming industry will be a plus\n\n\nIf you possess some of these skills but not all of them, we still encourage you to apply!\n\n\n\nEnsure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics or Fanatics Brand email address (this includes @betfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers\n\n\nTryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now.\n\n\nFanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.\n\n\nNOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or other types of positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. For additional information on how we collect and use personal information in connection with your job application, review our Candidate Privacy Policy-CA \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, Java, Mobile, Legal and Engineer jobs that are similar:\n\n $55,000 — $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\nRemote - USA