Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
About the role
- Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
Responsibilities
- 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))
- Design organization wide systems and platforms for ML Ops.
- Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
- Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
- You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.
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.
- Experience with large scale distributed training, specifically working with Ray.
- You are well versed in open-source software and make contributions.
- You have built ML solutions that have reached production.
- You feel comfortable with the data science and ML iteration/lifecycle.
- You can balance multiple stakeholders when designing components of the ML development lifecycle.
- Ideal: You are familiar with model optimizations/compression for edge deployment.
- You have familiarity with compute and data platforms.
- 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
- Experience in the autonomous vehicle (L4) or adjacent industry.
Benefits
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 4% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
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