Machine Learning Engineer (LLMs, embeddings, recommendations)

TouchToRate (TTR) helps people build meaningful, measurable connections at events using LAVI AI—matching attendees with the right people at the right time.

Our vision is a world where networking feels intentional, personalized, and data-driven—so every in-person interaction compounds into real outcomes for individuals and organizations.

Build and iterate on LAVI’s smart-match engine—entity resolution, graph/embedding search, and feedback-aware ranking.

• Own candidate generation and ranking for attendee-to-attendee/sponsor match.
• Create evaluation harnesses and offline→online metric pipelines.
• Work with product to translate signal into real-time, explainable recommendations.

• Design feature stores and embedding pipelines for people, intents, and context.
• Train/evaluate LLM and retrieval components for matching and summarization.
• Productionize with vector DBs and fast inference paths.
• Measure with offline metrics and online A/B tests.
• Partner with frontend to expose rationale and user trust features.

• 3+ years in ML for recommender systems, search, or NLP.
• Strong Python, data tooling, and vector database experience.
• Comfort with experimentation, stats, and causal thinking.

• LLM fine-tuning, RAG, or bandit/reinforcement experience.
• Graph features, embeddings at scale, or streaming pipelines.

• Uplift in match acceptance and downstream outcomes.
• Latency/cost per recommendation within targets.
• Robust eval suite that predicts online results.

• Competitive salary with meaningful equity
• Remote-friendly culture (Seattle hub available)
• Flexible time off and company-wide recharge days
• Medical, dental, and vision coverage (US)
• Stipends for learning, home office, and events
• Latest Mac/PC hardware + the tools you love
• Quarterly team offsites and event travel where relevant