12 months ago
San Francisco, CA, USAMid Level
Responsibilities
- Design and implement multi-stage matching systems using embedding-based retrieval and LLM re-ranking for compatibility scoring, search, and personalization.
- Develop and maintain ML pipelines for data ingestion, feature generation, model training, evaluation, and inference.
- Prototype and productionize agentic workflows for natural-language and voice interactions, including AI-assisted intake interviews and conversation agents.
- Deploy and monitor production ML models with performance, fairness, and safety guardrails.
- Run offline and online A/B and multivariate experiments measuring engagement, match success, and conversation quality.
- Collaborate with platform engineers and product designers to integrate AI into the Known user experience.
- Build model evaluation, monitoring, and retraining loops using offline metrics and live interaction feedback.
Requirements
- At least 3 years of experience in applied machine learning or data science engineering, ideally with recommendation, search, or personalization systems.
- Strong proficiency in Python and modern ML frameworks including PyTorch, TensorFlow, JAX, and Hugging Face.
- Experience with LLMs, embeddings, and agentic workflows.
- Understanding of A/B testing and human-in-the-loop system design for production model evaluation.
- Familiarity with approximate nearest-neighbor search systems and modern MLOps tools is preferred.
- Reinforcement learning or preference modeling experience is a strong plus.
- Commitment to safe, fair, and human-centered AI experiences.
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About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.