Machine Learning Engineer

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Own machine learning models from early experimentation through to production use. Train, assess and ship models inside a software product while working closely with leadership and customers to guide technical direction.

What you'll do

- Train and deploy new models that interpret unstructured data.

- Try out novel techniques to raise model accuracy and create the tooling to measure whether they help.

- Set up the data flows, benchmarking and product integration that carry a model into production.

- Partner directly with founders and customers to influence product direction and engineering strategy.

- Carry models through the full lifecycle, from research to live use.

Requirements

What we're looking for

- Degree from a leading computer science or engineering program.

- Experience training, fine-tuning and evaluating machine learning models for production systems.

- Background in OCR and document understanding.

- Hands-on experience with vision-language models, classical computer vision or large language models.

- Track record of taking a model all the way to end users without handing it off unfinished.

- Strong attention to detail and a self-directed, high-ownership approach.

- Comfort holding technical conversations with customers.

Bonus points

- Authorship of well-cited research in vision, multimodal models or document understanding.

- Recent startup experience.

Benefits

Compensation and benefits

- Base salary: USD 200,000 to 325,000 per year

- Equity

- Health, dental and vision coverage

- Parental leave

- Flexible time off

Location and work model

- San Francisco, California, United States

- On-site, 5 days per week in office

- Full-time