{"schemaVersion":"jobsearcher.job.v1","id":"7284dad6832856d232ec32d3","url":"https://jobsearcher.com/jobs/7284dad6832856d232ec32d3","canonicalUrl":"https://jobsearcher.com/jobs/7284dad6832856d232ec32d3","title":"Staff Machine Learning Engineer","description":"Remote, Washington, USA\r\nStaff Machine Learning Engineer\r\nLocation: Remote, Washington, USA\r\nDepartment: AI & Machine Learning\r\nRequisition ID: JOBREQ-2615759\r\nRole description\r\nThe opportunity\r\nWe are seeking a senior ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads.\r\nYou will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform.\r\nWhat you'll be doing\r\nDesign and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation\r\nDevelop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.\r\nIntegrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows\r\nImprove reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing\r\nOptimize performance and resource utilization across distributed compute systems used for data processing and model training\r\nPartner closely with ML engineers to enable efficient large-scale experimentation and model iteration\r\nLead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient\r\nWhat we're looking for\r\nStrong experience building large-scale ML pipelines\r\nExperience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training\r\nExperience building infrastructure for training data generation, dataset preparation, or ML feature pipelines\r\nDeep experience designing and operating production-grade data pipelines\r\nStrong programming skills in Python and experience working with large-scale distributed workloads\r\nExperience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)\r\nStrong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems\r\nProven ability to lead technical direction and influence architectural decisions across teams without formal authority\r\nAdditional information\r\nRelocation support is not available for this position\r\nWork visa/immigration sponsorship is not available for this position\r\nBenefits\r\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\r\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\r\nWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program\r\nLife at Unity\r\nUnity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.\r\nUnity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSdrbRLG1N-apH1eahQ622Gypo-rmiAB6LLTP1UsSWQNu7omxQ/viewform) to let us know.\r\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\r\nHeadhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.\r\nYour privacy is important to us. Please take a moment to review our Prospect Privacy Policy (https://unity.com/legal/global-data-privacy-notice-to-prospects) and Applicant Privacy Policy (https://unity.com/de/legal/global-data-privacy-notice-to-applicants). Should you have any concerns about your privacy, please contact us at DPO@unity.com.\r\n*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.\r\nGross pay salary\r\n$178,300—$267,500 USD\r\nJ-18808-Ljbffr","company":"Unity Technologies","rawCompany":"unity technologies","city":"Olympia","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:05:28.291Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Machine Learning Engineer","description":"Remote, Washington, USA\r\nStaff Machine Learning Engineer\r\nLocation: Remote, Washington, USA\r\nDepartment: AI & Machine Learning\r\nRequisition ID: JOBREQ-2615759\r\nRole description\r\nThe opportunity\r\nWe are seeking a senior ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads.\r\nYou will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform.\r\nWhat you'll be doing\r\nDesign and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation\r\nDevelop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.\r\nIntegrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows\r\nImprove reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing\r\nOptimize performance and resource utilization across distributed compute systems used for data processing and model training\r\nPartner closely with ML engineers to enable efficient large-scale experimentation and model iteration\r\nLead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient\r\nWhat we're looking for\r\nStrong experience building large-scale ML pipelines\r\nExperience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training\r\nExperience building infrastructure for training data generation, dataset preparation, or ML feature pipelines\r\nDeep experience designing and operating production-grade data pipelines\r\nStrong programming skills in Python and experience working with large-scale distributed workloads\r\nExperience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)\r\nStrong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems\r\nProven ability to lead technical direction and influence architectural decisions across teams without formal authority\r\nAdditional information\r\nRelocation support is not available for this position\r\nWork visa/immigration sponsorship is not available for this position\r\nBenefits\r\nAt Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.\r\nPlease note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.\r\nWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program\r\nLife at Unity\r\nUnity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.\r\nUnity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form (https://docs.google.com/forms/d/e/1FAIpQLSdrbRLG1N-apH1eahQ622Gypo-rmiAB6LLTP1UsSWQNu7omxQ/viewform) to let us know.\r\nThis position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.\r\nHeadhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.\r\nYour privacy is important to us. Please take a moment to review our Prospect Privacy Policy (https://unity.com/legal/global-data-privacy-notice-to-prospects) and Applicant Privacy Policy (https://unity.com/de/legal/global-data-privacy-notice-to-applicants). Should you have any concerns about your privacy, please contact us at DPO@unity.com.\r\n*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.\r\nGross pay salary\r\n$178,300—$267,500 USD\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T08:05:28.291Z","dateModified":"2026-04-09T08:05:28.291Z","hiringOrganization":{"@type":"Organization","name":"Unity Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Olympia","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7284dad6832856d232ec32d3"},"url":"https://jobsearcher.com/jobs/7284dad6832856d232ec32d3"}}