*We are only accepting candidates that currently live near or in the San Francisco Bay Area*
About the Role:
We’re hiring an AI/ML Engineer to join a fast-growing startup building applied AI systems at scale. You’ll work alongside a small team of world-class engineers, researchers, and product designers to turn cutting-edge models into real-world products.
What You'll Do:
- Research, design, and deploy ML models (NLP, CV, or tabular, depending on vertical)
- Fine-tune LLMs and integrate with retrieval-augmented generation (RAG) stacks
- Own model training pipelines (TensorFlow, PyTorch) and infrastructure (AWS/GCP)
- Collaborate with product and backend teams to ship ML-powered features
- Continuously monitor, evaluate, and optimise model performance in production
- Contribute to internal tools, libraries, and scalable data processing pipelines
Ideal Candidate:
- 2–5 years experience in ML/AI engineering, preferably in a startup or high-growth environment
- Strong Python skills; deep experience with PyTorch or TensorFlow
- Experience with model deployment, MLOps, and scaling production models
- Hands-on with LLMs, RAG, embeddings, or vector DBs (Pinecone, Weaviate, etc.)
- Comfort working with incomplete data and ambiguous product requirements
- Bonus: Background in data engineering, DevOps, or applied research
Tech Stack Includes:
Perks & Benefits:
- Generous equity package
- Health, dental, and vision fully covered
- Annual learning stipend and access to top AI conferences
- Office in downtown SF, 2–3 office days expected (flexible)
