BuildForever
ML / AI Engineer
San Francisco / New York · Full-time · Posted Oct 30, 2026
- Experience
- Deep experience building ML-powered products; no number of years specified.
About the job
Build ML, retrieval, and inference systems that power personalized consumer product features and turn complex AI capabilities into intuitive user experiences.
What you'll do
- Architect ML and retrieval systems, data pipelines, and scalable real-time and batch inference infrastructure.
- Lead model selection, fine-tuning, embeddings, RAG pipelines, evaluation, and quality measurement.
- Prototype ML-powered product ideas and collaborate with product, design, and engineering to ship polished features.
What they ask for
- Deep experience building ML-powered products, such as with LLMs, embeddings, RAG, ranking, classification, NLP, or retrieval systems.
- Ability to own problems end-to-end across data, modeling, inference, and user-facing quality.
- Experience with embeddings, vector databases, semantic search, or RAG architectures.
Nice to have
- Experience with Python, FastAPI, Postgres, BigQuery, Cloud Run, Cloud Tasks, or similar infrastructure.
- Experience with OpenAI APIs, Anthropic, HuggingFace, fine-tuning pipelines, or evaluation frameworks.
Tools
LLMs, Python, FastAPI, Postgres, BigQuery, Cloud Run, Cloud Tasks, OpenAI APIs
AI focus
Develop ML-powered consumer features including categorization, summarization, enrichment, search, personalization, and assistant-like interactions; build models, retrieval, RAG, embeddings, and inference systems.
Model-written summary · the original posting is authoritative