Lead Machine Learning Engineer
Core
Design and develop ML evaluation systems for agentic and LLM-based architectures, translating research into production-grade systems to serve customers at scale.
Role type
Lead Machine Learning Engineer (NLP/LLM)
Builds
Production-grade agentic AI systems and evaluation frameworks
Domain
Artificial Intelligence / Natural Language Processing / Large Language Models
Deliverable
production ML models
Required skills
NLP, LLM-based systems, agentic systems, Python, AWS, Kubernetes, Docker, software architecture, technical mentorship
Preferred skills
Building and evaluating agentic systems at scale, LLM-centric services (inference, orchestration, evaluation, monitoring), large-scale ML experimentation, model optimization for inference, CI/CD, Kafka, Athena
Technologies
Python, AWS, Kubernetes, Docker, Kafka, Athena, CI/CD
Responsibilities
Design and develop ML evaluation systems for agentic and LLM-based architectures; Translate research ideas into production-grade ML systems; Partner with Research, Product, and Platform teams to productize experiments; Mentor and support other engineers through design reviews and knowledge sharing.
Seniority
Senior, hands-on IC with mentorship responsibilities
