Highlightai
Head of AI
San Francisco office
Sponsorship not specifiedDetected 35 days ago
Vector DatabasesMachine LearningTensorFlowPyTorchData EngineeringNLPComputer VisionLLMsRAGStatisticsA/B TestingForecastingResearchLeadershipCommunicationMentoring
About the role
- We're looking for a technical leader who's equally comfortable diving into model architectures and rallying a team around ambitious goals.
- You thrive in ambiguity, ship fast, and hold yourself and your team to a high bar.
Responsibilities
- Highlight is building a shared intelligence layer for the modern workforce.
- We're hiring a Head of AI Engineering to lead and scale our ML and AI efforts as we build the engine that powers Highlight.
- You'll own the architecture, quality, and roadmap for how we ingest, model, and surface context, starting from data pipelines and evals to the context graph that makes our system truly useful.
- Own output quality across Highlight chat, actions, and workflows; drive toward industry leading acceptance rates.
- Build and lead a world-class ML Engineering team; Establish AI/ML best practices across the broader engineering org.
- This is a hands-on leadership role: you'll write code, set technical direction, mentor engineers, and collaborate closely with Backend and Product teams to ship features that feel like magic.
- Own the context graph: architect and build Highlight's memory systems end-to-end, including data ingestion, modeling, retrieval, and evals
Requirements
- You have deep expertise in LLMs, knowledge systems, and retrieval.
- 7+ years in ML/AI engineering, with 3+ years leading teams or major technical initiatives
- Experience working at top AI labs (e.g. DeepMind, OpenAI, Anthropic, Meta FAIR, xAI) or leading AI application companies (e.g. Google, Cursor, Perplexity)
- Hands-on proficiency with modern ML stacks (PyTorch, TensorFlow, RAG, vector DBs, cloud infra)
- 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
- Research, prototype and deploy state-of-the-art machine learning text and OCR models (e.g., transformer architectures, computer vision, time series forecasting, reinforcement learning)
- 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.
- Stay current on knowledge representation, continual learning, and retrieval; translate insights into features that feel like magic; Research novel approaches and publish when appropriate.
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This listing is sourced directly from Highlightai's careers page and normalized into a canonical job model.