Senior Machine Learning Engineer

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

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.