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Machine Learning Engineer

True Talent Solutions Partners San Francisco, California, United States · $200K–$325K/yr

3 d ago
machine-learning Mid (2-5 yrs) Full-time Visa sponsorship United States
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About the role

Develop, evaluate, and deploy machine learning models and data pipelines for parsing and interpreting unstructured documents, and improve language model accuracy through experimentation. Integrate models into the product and collaborate with leadership and customers to shape product direction and engineering strategy.

What they look for

Machine Learning Python Computer Vision Vision-Language Models Large Language Models Optical Character Recognition Document Understanding Model Training Model Fine-Tuning Model Evaluation Production Deployment Data Pipelines Unstructured Data Parsing Streamlit

Requirements

Requires at least four years of full-time machine learning engineering experience after graduation, strong Python skills, and experience training, fine-tuning, evaluating, and deploying production models. Candidates should have hands-on experience with vision-language models, computer vision, or large language models, as well as OCR and document understanding; startup experience and relevant research contributions are valued.

Full 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.

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