Machine Learning Engineer

About the Role

Join a focused machine learning team building vision models that interpret complex documents and prepare structured inputs for language models. You will own models from research through production, supporting real-world enterprise workloads in the AI and document processing space.

What You'll Do

• Train 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, measure model performance, and integrate models into the product.

• Work closely with company leadership 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, with a track record of shipping models to production.

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

• Hands-on experience with OCR and document understanding, plus vision-language models, computer vision, or large language models.

• Proficiency with Python and experience with relevant machine learning tools and frameworks; Streamlit experience is useful.

• Startup experience or a background primarily outside large technology companies.

• A degree in computer science, engineering, or a related field, with strong technical foundations.

• Research experience in computer vision, vision-language models, or document understanding is valued.

Compensation & Benefits

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

Location

On-site in San Francisco, United States.