Torc Robotics
Leading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.
Senior ML Engineer – ML Ops Framework
Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000Since 2007H1B SponsorCompany SiteLinkedIn
Location
United States
Posted
110 days ago
Salary
$156K - $234K / year
Bachelor Degree6 yrs expEnglishAWSCloudPandasPythonPy TorchRayTableauTerraform
Job Description
• You will work to build, maintain and improve our Torc ML frameworks including the following tools:
• Cloud tooling: Terraform, AWS Managed Services, EKS, Ray
• Data ops: Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline: Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
• Visualization & dashboarding (e.g., tableau, voxel51, rerun)
Job Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
- Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
- You have built things with Ray and want to evangelize its usage
- You keep up with open-source software for machine learning at scale
- You have built ML solutions that have reached production
- You feel comfortable with the data science and ML iteration/lifecycle
- Ideal: You are familiar with model optimizations/compression for edge deployment
- You have familiarity with compute and data platforms
- You understand how to build ML systems that scale
- You want to build, maintain, grow, and improve our ML platform
- You know that a healthy software deployment requires mature software practices
- Ideal: You love to speak with users and help them reach their goals
Benefits
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
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