Lead development of models and algorithms powering real-time voice agents, focusing on speech understanding, naturalness, and production deployment. Requires 5+ years in AI/ML, LLM production experience, and strong Python/ML skills.
200k – 400k/yr
On-site5+ 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
5+ 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 to reliable, measurable production impact
Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution
Compensation & Benefits
$200K – $400K + equity
Take what you need vacation policy
Medical, Dental, and Vision benefits
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K)
Parental Leave
Fertility and family building benefits through Carrot
Daily lunches and snacks in the office
Skills
PythonLLMsMachine LearningModel TrainingModel EvaluationData PipelinesSpeech RecognitionConversational AINatural Language Processing
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