Machine Learning Engineer

Description

About the Role

Join a machine learning team building vision models that interpret complex documents and turn their contents into useful inputs for language models. You will own models end to end, from research and experimentation through production deployment.

Responsibilities

• Develop and deploy models for parsing and interpreting unstructured data.
• Experiment with techniques to improve language model accuracy and build tools to measure their impact.
• Create data pipelines, evaluate model performance, and integrate models into the product.
• Collaborate directly with company leadership and customers to shape product direction and engineering strategy.

Requirements

• 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 vision-language models, computer vision, or large language models.
• Experience with OCR and document understanding, plus a track record of taking models through deployment to users.
• Strong Python skills and familiarity with relevant machine learning tools and technologies, such as Streamlit.
• Startup experience or experience working outside large technology companies is valued. Research contributions in computer vision, vision-language models, or document understanding are also a plus.

Conditions

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

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