Machine Learning Engineering Technical Leader
Core
Senior Staff Applied Scientist leading the full lifecycle of research and deployment for next-generation AI systems focused on intelligent code generation using GenAI techniques.
Role type
Senior Staff Applied Scientist (GenAI/Code Generation)
Builds
Foundation models for code generation, agentic AI systems, and distributed training/inference pipelines for Splunk Observability, Security, and Platform.
Domain
Software Engineering / Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
PhD in CS/ML/AI or Master's +10 years research, LLM development for program synthesis, Multi-step planning/agentic AI, Python, Deep Learning frameworks (PyTorch/TensorFlow), Research-to-production translation
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 (publications)
Technologies
PyTorch, TensorFlow, Code-LLaMA, CodeT5, StarCoder, GPT-based models
Responsibilities
Own full lifecycle of research and deployment for AI systems, Define scientific roadmap for agentic GenAI, Advance state of the art in DSL-aware code synthesis, Drive efficiency and scalability of distributed training/inference pipelines, Collaborate with engineering/product to translate AI breakthroughs, Mentor and elevate research organization, Shape long-term AI strategy and innovation
Seniority
Senior Staff, Strategy & Mentorship
