Machine Learning Engineering Technical Leader
Core
Leading research and deployment of next-generation AI systems for intelligent code generation, including model design, evaluation, and production rollout for agentic GenAI.
Role type
Senior Staff Applied Scientist (Technical Leader)
Builds
Intelligent code generation systems, agentic GenAI models, and distributed training/inference pipelines for developer workflows.
Domain
Artificial Intelligence / Machine Learning / Software Development
Deliverable
production ML models
Required skills
Large Language Models (LLMs) for program synthesis, Multi-step planning or agentic AI, Python, deep learning frameworks (PyTorch/TensorFlow), translating research prototypes to production systems
Preferred skills
Experimental design and benchmarking, LLMs for Code Generation (Code-LLaMA, CodeT5, StarCoder), Domain-Specialized Modeling (SQL, DSLs), Agentic AI & Tool Use, Structured Reasoning & Planning, Large-Scale Training & Optimization, MLOps & Continuous Evaluation, Research Leadership
Technologies
PyTorch, TensorFlow, Code-LLaMA, CodeT5, StarCoder, GPT-based models
Responsibilities
Own the full lifecycle of research and deployment of next-generation AI systems; Define the scientific roadmap for agentic GenAI; Advance the state of the art in DSL-aware code synthesis; Drive efficiency and scalability of distributed training and inference pipelines; Collaborate with engineering and product to translate AI breakthroughs into customer capabilities; Mentor and elevate a high-performing research organization; Shape long-term AI strategy and innovation
Seniority
Senior Staff, hands-on IC with strategic leadership