Senior Distributed ML Engineer: Large-Scale Training
LawZero
Montreal (administrative region)
On-site
CAD 140,000 - 210,000
Full time
14 days+
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Benefits offered by this job
Comprehensive health benefits
20 days of vacation per year
4% employer contribution to retirement savings
Additional compensation for retirement savings or bonuses
Vibrant office in a trendy district
Job summary
A non-profit AI research organization in Montreal seeks a Senior Distributed Machine Learning Research Developer. You will collaborate with researchers and address complex ML challenges while working with large-scale models. Ideal candidates have 3+ years of experience in distributed ML and possess skills across various frameworks and cloud services. What we offer includes comprehensive health benefits, generous vacation days, and a vibrant, inclusive work environment emphasizing diversity and collaboration.
Qualifications
3+ years of experience in designing ML training frameworks.
Ability to document best practices and stay updated with ML advancements.
Experience with vector databases and data infrastructures.
Responsibilities
Collaborate with researchers to facilitate large-scale model use.
Investigate performance bottlenecks and optimize computing resources.
Develop tools for simplifying distributed computing resources.
Skills
Distributed ML training frameworks
Collaboration with cross-functional teams
Cloud platforms (AWS, GCP, Azure)
GPU profiling tools
Containerization (Docker, Kubernetes)
Education
Degree in computer science or related field
Advanced degree in ML or distributed systems (preferred)
Tools
Megatron
DeepSpeed
HuggingFace Accelerate
Ray
SLURM
Job description
A non-profit AI research organization in Montreal seeks a Senior Distributed Machine Learning Research Developer. You will collaborate with researchers and address complex ML challenges while working with large-scale models. Ideal candidates have 3+ years of experience in distributed ML and possess skills across various frameworks and cloud services. What we offer includes comprehensive health benefits, generous vacation days, and a vibrant, inclusive work environment emphasizing diversity and collaboration.