Software Engineer, Systems ML

Job Description

The role involves building and optimizing intelligent ML systems using AI infrastructure and hardware acceleration techniques. The engineer will drive large-scale efforts across teams, define benchmarks, and mentor other engineers and research scientists.

Requirements: Candidates must have a bachelor's degree in a technical field and specialized experience in ML/DL domains such as GPU architecture or ML frameworks. Proficiency in C++ or Python and experience with AI-system infrastructure are required.

Key Skills: AI Infrastructure, Hardware Acceleration, GPU Architecture, ML Compilers, High Performance Computing, PyTorch, C++, Python, Distributed Systems, On-device Algorithm Development, Recommendation Models, Ranking Models, Prompt Engineering, Agent Orchestration, Technical Leadership, Performance Optimization

Benefits: Bonus, Equity