Senior ML Engineer – Document Understanding (On-Site SF)

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

Benefits offered by this job

Visa sponsorship

Job summary

True Talent Solutions Partners is hiring a machine learning engineer in San Francisco for an on-site role. You will own projects end-to-end—from research and experimentation to production deployment—helping transform unstructured documents into useful inputs for language models.

You will train and deploy models, experiment to improve accuracy, develop data pipelines, and work closely with leadership and customers to steer product direction and engineering strategy.

Qualifications

• 4+ years of full-time ML engineering experience after graduation.
• Hands-on OCR and document understanding experience, plus one or more of vision-language models, CV, or LLMs.
• Strong CS or engineering fundamentals and experience shipping models to users.
• Proficiency with Python and tools such as Streamlit.
• Startup experience valued; first- or second-author paper in CV/vision-language/document understanding is a plus.

Responsibilities

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

Skills

Python

OCR

Document understanding

Vision-language models

Computer vision

Large language models

Streamlit

Tools

Streamlit

Job description

True Talent Solutions Partners is hiring a machine learning engineer in San Francisco for an on-site role. You will own projects end-to-end—from research and experimentation to production deployment—helping transform unstructured documents into useful inputs for language models.

You will train and deploy models, experiment to improve accuracy, develop data pipelines, and work closely with leadership and customers to steer product direction and engineering strategy.