Torc Robotics
ML Engineer, I - MLOps Framework
Remote - US · Mid · Full-time
Sponsorship not specified$132k-$159kDetected 19 days ago
PythonTerraformCI/CDMachine LearningPyTorchPandasMLOpsAI OrchestrationEmbedded SystemsRoboticsElectrical EngineeringProblem Solving
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- 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.
- 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.
- Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Responsibilities
- Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.
- Collaborate with senior engineers to improve tooling, documentation, and operational processes.
- Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization.
Requirements
- Proficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.
- Experience with MLOps tooling - CI/CD systems, monitoring, logging, and pipeline orchestration.
- Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).
- Experience with distributed compute/orchestration frameworks (Ray, Anyscale).
- Experience with edge deployment or embedded hardware.
Nice to have
- Bachelor'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
Skills
- Meet the Team
Compensation
- A competitive compensation package that includes a bonus component and stock options
Benefits
- Perks of Being a Full-time Torc'r
- Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future.
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
Company info
- At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
- A 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.
- Join 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.
- As 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.
- In 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.
- Our culture is collaborative, energetic, and team focused.
- At Torc, we're committed to building a diverse and inclusive workplace.
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This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.