Senior / Staff Machine Learning Engineer, Applied AI
Core
Adapt Lila's AI models to customer-specific scientific workflows through post-training, evaluation, and production integration.
Role type
Senior / Staff Machine Learning Engineer, Applied AI
Builds
Production-oriented ML systems, post-training pipelines, and evaluation harnesses for scientific applications
Domain
AI Research, Large Language Models, Scientific Computing
Deliverable
production ML models
Required skills
Post-training (SFT, RL/DPO/PPO/GRPO), Python, PyTorch, LLM/MoE/Agentic AI expertise, Debugging complex model failures, Evaluation system design
Preferred skills
RLHF/Tool-augmented RL, Model monitoring dashboards, MoE architecture training, Mentoring engineers
Technologies
PyTorch, Python, SFT, RLHF, DPO, PPO, GRPO
Responsibilities
Run post-training work to align model behavior with customer requirements, Run evaluation loops to measure model quality and reliability, Debug complex model failures using traces and scientific feedback, Partner with researchers to translate model advances into usable capabilities, Work with software teams to integrate model behavior into end-to-end workflows, Turn customer learnings into concrete model improvement cycles
Seniority
Senior / Staff, hands-on IC
