Phaselaw
AI / ML Engineer - Known
San Francisco
Sponsorship not specifiedDetected 285 days ago
PythonAlgorithmsMachine LearningTensorFlowPyTorchData ScienceLLMsMLOpsA/B TestingResearch
About the role
- You'll be the technical founder driving the machine learning and AI backbone behind Known - an intelligent, compatibility-driven dating platform that blends psychology, data, and human-like conversation.
- This is a hands-on role with ownership across research, prototyping, and production deployment.
Responsibilities
- Design and implement multi-stage matching systems (embedding-based retrieval + LLM re-ranking) for compatibility scoring, search, and personalization.
- Develop and maintain ML pipelines for data ingestion, feature generation, model training, evaluation, and inference.
- Collaborate cross-functionally with platform engineers and product designers to integrate AI seamlessly into the Known user experience.
- You'll work closely with the founding team (product, platform, and design) to shape both the data and ML foundations and the user-facing experiences that differentiate Known.
- Your work will directly shape how people connect, communicate, and build relationships in an AI-assisted world.
- You'll design and ship the systems that make Known feel magical: personalized matching algorithms, adaptive recommendation loops, and natural voice/LLM-based interactions that help users connect meaningfully.
Requirements
- 3+ years in applied ML or data science engineering roles, ideally working on recommendation, search, or personalization systems.
- Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX, Hugging Face).
- Experience with LLMs, embeddings, and agentic workflows.
Nice to have
- Familiarity with ANN search systems and modern MLOps tools is a plus.
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