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Senior ML Engineer – ML Ops Framework at Torc Robotics | JobVerse
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Senior ML Engineer – ML Ops Framework
Torc Robotics
Remote
Website
LinkedIn
Senior ML Engineer – ML Ops Framework
Canada
Full Time
4 weeks ago
$199,200 - $298,800 CAD
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Key skills
AWS
Cloud
Pandas
Python
PyTorch
Ray
Tableau
Terraform
AI
ML
EKS
Collaboration
About this role
Role Overview
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.
Tech Stack
AWS
Cloud
Pandas
Python
PyTorch
Ray
Tableau
Terraform
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
Apply Now
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