Machine Learning Engineer

True; San Francisco (CA); On-site; USD 200,000 - 325,000; Full time

Benefits offered by this job

Visa sponsorship

Competitive base salary

Job summary

Join a machine learning team in San Francisco, on-site, building vision models to interpret complex documents and render outputs suitable for language models. Lead end-to-end model development from research to production deployment.

You will develop and deploy parsing and interpretation models, experiment to improve accuracy, and build data pipelines while collaborating with leadership and customers to shape the product strategy.

Qualifications

• 4+ years of full-time ML engineering experience after graduation.
• Experience training, fine-tuning, and evaluating models for production.
• Hands-on with vision-language models, CV, or LLMs.

Responsibilities

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

Skills

ML engineering

Python

Vision-language models

OCR

Document understanding

Tools

Streamlit

Job 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.

WHAT YOU'LL DO

• 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.

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 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.

COMPENSATION & BENEFITS

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

LOCATION

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