Senior Machine Learning Engineer

About the Role

Join a machine learning team building models that interpret complex documents and turn unstructured information into useful inputs for language models. You will own work end to end, from research and experimentation through production deployment, helping improve document understanding for enterprise workloads.

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 measure their impact.

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

• Work directly 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, including training, fine-tuning, and evaluating models used in production.

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

• Strong computer science or engineering fundamentals and experience shipping models to users.

• Proficiency with Python and experience with relevant tools such as Streamlit.

• Startup experience is valued. A first- or second-author paper in computer vision, vision-language models, or document understanding is a plus.

Compensation & Benefits

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

Location

This is an on-site role in San Francisco, California, United States.