Machine Learning Compute Infrastructure Engineer
Seattle, WA, United States
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ROLE ML Compute Infrastructure Engineer
LOCATION Cupertino or Seattle
RATE We can pay on C2C or 1099
MAIN SKILLS ML frameworks experience (PyTorch, JAX), Performance analysis and optimization experience in Cloud accelerators, Data analysis using SQL
We are seeking a highly motivated and experienced software engineers to join our team. The ideal candidate will have a deep understanding of machine learning algorithms and cloud computing infrastructure.
Responsibilities
Support ML efficiency metrics analysis and improvements on ML compute platforms
Analyze user workload metrics to identify sources of inefficiencies and reach out to users to understand workloads and help optimize
Document best practices and report back user outreach results
Excellent time management and organizational skills and experience establishing guidelines in these areas for others.
Experience working in a high-level collaborative environment and promoting a teamwork mentality
Outstanding communication and presentation skills, written and verbal, to all levels of an organization.
Top 2-3 skills you will be looking for when you review resumes?
Performance analysis and optimization experience in Cloud accelerators
ML frameworks experience (pyTorch, JAX)
Data analysis using SQL
Anything that would automatically disqualify a candidate?
Poor coding ability
Poor organization, communication, focus
Machine Learning Compute Infrastructure Engineer
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