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)

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

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

Senior ML Engineer – ML Ops Frameworks

Key skills