Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion
Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience
Partner with platform and product engineers to integrate new models into production systems
Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Requirements

8+ years of experience in AI/ML engineering or research.
Prior experience post-training and deploying LLMs in production environments.
Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
Track record of taking research ideas from prototype → reliable, measurable production impact
Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI engineeringML engineeringLLMs deploymentPythondata pipelinesmodel optimizationend-to-end modelsproduction systemsinstruction followingtask completion

Soft Skills

mentoringtechnical directionbest practicesroadmap definitioncross-functional executionbreaking ambiguityiterative milestonesleadershipcommunicationcollaboration