About the Role

Join a small machine learning team building vision models that interpret complex documents and prepare their contents for use with large language models. You will own models end to end, from research and experimentation through production deployment, supporting real enterprise workloads.

What You'll Do

Build and deploy models for parsing and interpreting unstructured data.

Experiment with techniques to improve language model accuracy and build tools to evaluate results.

Develop data pipelines, assess model performance, and integrate models into the product.

Work closely with company leaders and customers to shape product direction and engineering strategy.

What We're Looking For

At least 4 years of full-time machine learning engineering experience after graduation.

Experience training, fine-tuning, and evaluating machine learning models for production systems.

Hands-on experience with large language models, vision-language models, or computer vision.

Experience with OCR and document understanding, plus a track record of taking models through to user-facing production.

Strong Python skills and familiarity with computer vision, vision-language models, and tools such as Streamlit.

Startup experience or experience working primarily outside large technology companies; consistent employment tenures are valued.

A degree from a strong computer science or engineering program. Research contributions in computer vision, vision-language models, or document understanding are a plus.

Compensation & Benefits

Base salary range: $200,000 to $325,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.