Senior Machine Learning Engineer

A fast-growing AI company in San Francisco is hiring 1–3 Machine Learning Engineers to work directly with the CTO and own ML systems end-to-end — from research and experimentation to evaluation and production.

This is not an inference-only role. You’ll work on models that process and understand complex documents, combining VLMs, computer vision and LLMs for real enterprise workloads.

What you’ll do:

• Train, fine-tune and evaluate ML models for production

• Build and improve document understanding and OCR systems

• Work with VLMs, traditional CV and LLMs

• Own data pipelines, model performance and product integration

• Build evaluation tooling and experiment with new ML techniques

• Deploy models and take them all the way to users

• Work directly with founders, CTO and enterprise customers

What they’re looking for:

• 4+ years of full-time ML Engineering experience after graduation

• Hands-on experience training/fine-tuning/evaluating production ML models

• Strong experience with VLMs, Computer Vision or LLMs

• Experience with OCR and document understanding

• BS/MS in CS, Engineering, Mathematics or related field from a strong CS/engineering program

• Strong Python skills

Strong pluses:

• Startup experience

• ML ownership as a founding/sole engineer

• Publications in CV, VLMs or document understanding

• Strong GitHub/open-source contributions

Tech: Python, Computer Vision, VLMs, Streamlit

💰 $200K–$325K base + competitive equity

📍 San Francisco — On-site

🛂 Visa transfers supported — no new H-1B sponsorship

🏠 Relocation support available

If you’ve actually built and shipped ML models into production, rather than only working with existing APIs, this could be a strong opportunity.

📩 DM with your CV/profile to discuss and apply.