Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
325k – 425k
On-site8+ YOEML Engineering
About the role
Responsibilities
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.
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