Highlightai

Highlightai

Member of Technical Staff, ML

San Francisco office · Staff+

Sponsorship not specifiedDetected 183 days ago
Vector DatabasesMachine LearningPyTorchData EngineeringLLMsRAGMLOpsCommunication

About the role

  • You will work across the full ML stack: data pipelines, model training, retrieval, ranking, evals, and deployment.
  • You will ship features that make Highlight feel like magic.
  • You will thrive here if you love shipping production ML systems, obsess over output quality, and want to work on hard problems with real user impact.

Responsibilities

  • Highlight is building a shared intelligence layer for the modern workforce.
  • We're hiring a Member of Technical Staff to help build the AI systems that power Highlight.
  • This is a hands on IC role where you will own critical systems end to end and collaborate closely with our Head of AI Engineering to scale our ML capabilities.
  • Design, build, and optimize ML pipelines for context retrieval, action detection, and output generation
  • Implement and iterate on RAG systems, ranking models, and prompt engineering to improve quality
  • Build comprehensive evals and monitoring to measure and improve ML system performance
  • Collaborate with Backend and Product Engineering to ship AI powered features

Requirements

  • 4+ years in ML/AI engineering, with significant experience shipping production systems
  • Deep experience with retrieval, ranking, RAG, or search systems at scale
  • Hands on proficiency with PyTorch, vector databases, and modern ML infrastructure
  • Experience with LLM applications (prompt engineering, fine tuning, eval frameworks)
  • You are a good fit if you have:

Compensation

  • Competitive salary and generous equity package

Benefits

  • Competitive salary and generous equity package
  • Health, dental, and vision insurance
  • Flexible PTO and parental leave
  • Must be based in or willing to relocate to SF - although we're flexible with days off & schedules, we have a 100% in-office culture during the week.

This listing is sourced directly from Highlightai's careers page and normalized into a canonical job model.