Highlight is AI that captures what matters across your meetings, screen, and tools, then drafts the follow-ups where your work happens. Free to start. Backed by General Catalyst.
About the role
We're hiring a Member of Technical Staff to help build the AI systems that power Highlight. 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. 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.
What they're looking for
- 4+ years in ML/AI engineering, with significant experience shipping production systems
- Strong software engineering fundamentals: you write clean, maintainable code
- 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)
- Product thinker: understands how to connect great ML products to constraints, evals, and modeling when building them
More about this role
Highlight is building a shared intelligence layer for the modern workforce. Highlight unifies context across every person and tool on your team, seamlessly bridging information silos. It evolves with your organization to proactively route knowledge and reliably automate workflows.
We're hiring a Member of Technical Staff to help build the AI systems that power Highlight. 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. 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.
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. We move fast, hold a high bar, and believe the best ideas win regardless of title.
Note: this is an on site role, requiring five days a week in our office.
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...
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