Machine Learning Engineer

About the Role

Join a machine learning team building vision models that interpret complex documents and prepare their contents for use by language models. You will own models end to end, from research and experimentation through production, working on real-world enterprise workloads.

What You'll Do

• Develop and deploy advanced models for parsing and interpreting unstructured data.

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

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

• Collaborate 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.

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

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

• Experience with OCR and document understanding, plus a record of taking models from development to production.

• Proficiency with Python and experience using computer vision, vision-language models, or related tools such as Streamlit.

• A strong computer science or engineering foundation, and experience in a startup or other fast-moving product environment.

• Research contributions in computer vision, vision-language models, or document understanding are a plus.

Compensation & Benefits

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

Location

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