Software Engineer, Systems ML
USD 170K-251K (estimate) Mid-level Full Time
Tasks
- Apply AI infrastructure and hardware acceleration techniques
- Apply knowledge of ML infrastructure interactions
- Build optimize intelligent ML systems
- Collaborate with partners on data-driven analysis
- Define use cases and develop methodology and benchmarks
- Design AI system impact goals
- Drive efforts across multiple teams
- Evaluate ML approaches using benchmarks
- Implement responsible ethical AI practices
- Mentor engineers and research scientists
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | C# | C++ | Co-design | Deep learning | Distributed Systems | GPU Architecture | Hardware Accelerators | Hardware co-design | High Performance | High-Performance Computing | Machine Learning | Machine Learning Compilers | Numerics | Performance Computing | Performance optimization | PyTorch | Python | Ranking Models | Recommendation Systems | Software-Hardware Co-Design | Software-hardware
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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