TL;DR
Senior ML Engineer (ML Ops): Building and optimizing ML frameworks and tools for autonomous vehicle solutions with an accent on ML experimentation, training, validation, and model conversion. Focus on developing scalable ML systems, leveraging distributed ML technologies like Ray, and driving the future of autonomous freight.
Location: Remote from Canada
Salary: $141,500 CAD - $212,300 CAD
Company
hirify.global, now a part of the Daimler family, is a leader in autonomous driving focused on developing software for automated trucks.
What you will do
- Build, maintain, and improve Torc ML frameworks and tools.
- Develop cloud tooling using Terraform, AWS Managed Services, EKS, and Ray.
- Work on data operations, including Parquet processing, vector databases, MCAP/ROS.
- Enhance ML development pipelines with Python, Ray, PyTorch, Lightning, and Gymnasium.
- Implement logging & aggregation, experiment tracking, and model registry & lineage solutions.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience, or Master’s degree with 3+ years.
- Experience building with Ray and staying current with open-source software for machine learning at scale.
- Demonstrated experience building ML solutions that have reached production and comfort with the data science and ML iteration/lifecycle.
- Familiarity with compute and data platforms and understanding of how to build ML systems that scale.
- Commitment to building, maintaining, growing, and improving ML platforms with mature software practices.
- English: B2 required for collaboration with English-speaking colleagues and technical documentation.
Nice to have
- Familiarity with model optimizations/compression for edge deployment.
- Enjoy speaking with users and helping them reach their goals.
Culture & Benefits
- Competitive compensation package, including a bonus component and stock options.
- Medical, dental, and vision for full-time employees.
- RRSP plan with a 4% employer match.
- Flexibility in schedule and generous paid vacation.
- Company-wide holiday office closures and life insurance.
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