Principal Engineer, Machine Learning, SMAI

Responsibilities

• Architect and execute large‑scale custom model training and fine‑tuning jobs (SFT, RLHF) on multi‑node, multi‑GPU clusters.
• Optimize training throughput and memory efficiency using distributed training strategies (FSDP, DeepSpeed, Megatron‑LM) and mixed‑precision techniques (FP16/BF16).
• Design and develop autonomous AI agents capable of multi‑step reasoning, planning, and tool execution to automate complex manufacturing workflows.
• Implement Agentic frameworks (e.g., LangChain, LangGraph, CrewAI) to orchestrate LLM interactions with internal APIs, databases, and software tools.
• Profile and debug GPU performance bottlenecks using tools like Nsight Systems or PyTorch Profiler to maximize hardware utilization.
• Build and maintain data/solution pipelines that feed machine learning models and GenAI applications.
• Design and optimize data structures in data management systems (Snowflake and Google Cloud p...