{"schemaVersion":"jobsearcher.job.v1","id":"750402cdc6b87bf79c00fda2","url":"https://jobsearcher.com/jobs/750402cdc6b87bf79c00fda2","canonicalUrl":"https://jobsearcher.com/jobs/750402cdc6b87bf79c00fda2","title":"ML Engineer, I - MLOps Framework","description":"About the Company\n\nAt Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\nA leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.\nJoin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\n\nMeet the Team\n\nAs a Machine Learning Engineer on the ML Ops Framework & Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale.\n\nIn this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.\n\nWhat You'll Do\n\nProvide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.\nAssist in debugging model development workflows and identifying root causes across the ML stack.\nCollaborate with senior engineers to improve tooling, documentation, and operational processes.\nCommunicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization.\n\nWhat You'll Need to Succeed\n\nBachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience\nProficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.\nExperience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.\nStrong debugging and problem-solving skills with an ability to triage issues under pressure.\nClear communicator who can work across teams and translate technical issues for different audiences.\n\nBonus Points\n\nExperience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).\nExperience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker).\nInfrastructure-as-code experience (Terraform).\nExperience with edge deployment or embedded hardware.\nExposure to autonomous driving or robotics ML workflows.\n\nPerks of Being a Full-time Torc'r\nTorc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\n\nA competitive compensation package that includes a bonus component and stock options\n100% paid medical, dental, and vision premiums for full-time employees\n401K plan with a 6% employer match\nFlexibility in schedule and generous paid vacation (available immediately after start date)\nAD+D and Life Insurance\n\nAt Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\nEven if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\n\nOur compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\n\nHiring Range for Job Opening\n\nUS Pay Range\n\n$132,400 - $ USD\n\nJob ID: 102940","company":"Torc Robotics","rawCompany":"torc robotics","city":"Ann Arbor","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-31T11:00:14.770Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"ML Engineer, I - MLOps Framework","description":"About the Company\n\nAt Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.\nA leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.\nJoin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.\n\nMeet the Team\n\nAs a Machine Learning Engineer on the ML Ops Framework & Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale.\n\nIn this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.\n\nWhat You'll Do\n\nProvide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.\nAssist in debugging model development workflows and identifying root causes across the ML stack.\nCollaborate with senior engineers to improve tooling, documentation, and operational processes.\nCommunicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization.\n\nWhat You'll Need to Succeed\n\nBachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience\nProficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.\nExperience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.\nStrong debugging and problem-solving skills with an ability to triage issues under pressure.\nClear communicator who can work across teams and translate technical issues for different audiences.\n\nBonus Points\n\nExperience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).\nExperience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS Sagemaker).\nInfrastructure-as-code experience (Terraform).\nExperience with edge deployment or embedded hardware.\nExposure to autonomous driving or robotics ML workflows.\n\nPerks of Being a Full-time Torc'r\nTorc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:\n\nA competitive compensation package that includes a bonus component and stock options\n100% paid medical, dental, and vision premiums for full-time employees\n401K plan with a 6% employer match\nFlexibility in schedule and generous paid vacation (available immediately after start date)\nAD+D and Life Insurance\n\nAt Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.\nEven if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.\n\nOur compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.\n\nHiring Range for Job Opening\n\nUS Pay Range\n\n$132,400 - $ USD\n\nJob ID: 102940","datePosted":"2026-08-31T11:00:14.770Z","dateModified":"2026-08-31T11:00:14.770Z","hiringOrganization":{"@type":"Organization","name":"Torc Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ann Arbor","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"750402cdc6b87bf79c00fda2"},"url":"https://jobsearcher.com/jobs/750402cdc6b87bf79c00fda2"}}