Machine Learning Engineer

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

Benefits offered by this job

Visa sponsorship

Job summary

True Talent Solutions Partners is seeking a machine learning engineer to own models end-to-end, from research and experimentation through production deployment for enterprise workloads.

You will build and deploy models for parsing unstructured data, experiment to improve accuracy, create data pipelines, and integrate models into the product while shaping engineering strategy with leadership and customers.

Qualifications

• 4+ years of full-time ML engineering experience after graduation.
• Experience training, fine-tuning, and evaluating ML models for production systems.
• Hands-on experience with OCR and document understanding, as well as computer vision, vision-language models, or LLMs.
• Strong Python skills and experience building with ML tools and frameworks; Streamlit experience is relevant.
• Startup or startup-like environment with ownership of models shipped to users.
• Strong computer science or engineering fundamentals.
• Research publications in CV, vision-language models, or document understanding are a plus.

Responsibilities

• Build and deploy models for parsing and interpreting unstructured data.
• Experiment with techniques to improve language model accuracy and develop tools to measure results.
• Create data pipelines, evaluate model performance, and integrate models into the product.
• Contribute to product direction and engineering strategy in collaboration with company leadership and customers.

Skills

Python

OCR

Computer vision

Vision-language models

Streamlit

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Streamlit

Job description

About the Role

Join a machine learning team building vision models that interpret complex documents and make their contents useful to language models. You will own models end to end, from research and experimentation through production deployment, working on real-world enterprise workloads.

What You'll Do

• Build and deploy models for parsing and interpreting unstructured data.

• Experiment with techniques to improve language model accuracy and develop tools to measure results.

• Create data pipelines, evaluate model performance, and integrate models into the product.

• Contribute to product direction and engineering strategy in collaboration with company leadership and customers.

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 OCR and document understanding, as well as computer vision, vision-language models, or large language models.

• Strong Python skills and experience building with machine learning tools and frameworks; Streamlit experience is relevant.

• A background in a startup or other environment outside large technology companies, with practical ownership of models shipped to users.

• Strong computer science or engineering fundamentals.

• Research publications in computer vision, vision-language models, or document understanding are a plus.

Compensation & Benefits

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

Location

Remote within the United States, with San Francisco as the primary location.