Machine Learning Engineer, Enterprise Brain
Core
Design and optimize reinforcement learning and fine-tuning approaches for agentic systems, invent LLM workflows to improve reasoning and personalization, and build scalable ML pipelines for enterprise knowledge graphs.
Role type
Senior IC machine learning engineer (agentic systems & LLMs)
Builds
Production-ready ML solutions, agentic systems, and enterprise knowledge graphs
Domain
Enterprise AI, Large Language Models, Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement learning, LLM workflow design, fine-tuning, ML pipeline construction, ML evaluation & benchmarking, data quality management, TensorFlow or PyTorch
Preferred skills
None stated
Technologies
TensorFlow, PyTorch
Responsibilities
Design and optimize reinforcement learning and fine-tuning approaches for agentic systems; Invent LLM workflows and signals that improve reasoning, planning, and personalization; Build and maintain ML pipelines for enterprise and knowledge graph construction; Lead scalable evaluation, benchmarking, and optimization loops; Mentor junior engineers
Seniority
Senior, hands-on IC
