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docker aws python pytorch distributed systems📋 Description
- Work with CV researchers to understand goals, review code, and scale.
- Profile and optimize performance-sensitive code for training and inference.
- Identify patterns across research and propose standardized abstractions.
- Collaborate with MLOps and backend engineers to drive platform investments.
- Guide researchers toward production-ready practices for testability and profiling.
🎯 Requirements
- 6+ years software eng; 4+ years in ML systems.
- Experience with Python, PyTorch, Docker, and AWS.
- Experience with data-intensive distributed systems, GPU utilization, and parallel processing.
- Experience delivering production ML systems with researchers.
- Experience building internal libraries/tools/platforms for engineers.
- Strong collaboration and communication skills with research teams.
🎁 Benefits
- Remote US or NYC office option.
- Unlimited vacation.
- Tech stipend: $4,000 every 2 years.
- WFH stipend: $500 annually.
- Health, dental, vision, and family coverage.
- 401K with company match.
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