Machine Learning Engineer

About the company

Our client is a software company.

The role

Raydar is recruiting for this role on behalf of our client. Develop and deploy bespoke machine learning models for a software product, owning the work from raw data preparation through to live operation. Collaborate with colleagues across functions to turn product ideas into shipped features, within a small, fast-moving, fully on-site team.

What you'll do

- Create, fit and assess proprietary neural models and learned representations that power the product.

- Take charge of the full data workflow, from sourcing and cleaning through to the model fitting framework.

- Strengthen the tooling used to run experiments, track results and reproduce outcomes.

- Move models from early prototype into live use, then watch their behavior and refine them based on real usage.

- Work with product and other colleagues to convert needs into machine learning solutions and release new capabilities.

- Write tidy, efficient Python and join in peer review, testing and troubleshooting.

- Follow current research developments and introduce promising techniques to the team.

Requirements

What we're looking for

- Around 4 or more years working as a machine learning engineer in industry, or comparable research experience.

- A graduate degree in a quantitative field such as computer science, with solid grounding in machine learning.

- A track record of designing neural networks from the ground up rather than only adapting pretrained ones.

- Experience devising original modeling approaches instead of leaning on ready-made tools.

- Working knowledge of PyTorch or a similar deep learning library.

- Hands-on experience with large language models and transformer architectures.

- Exposure to graph-based neural architectures.

- Experience delivering machine learning in production settings, with a clear sense of production standards; this is not a purely academic role.

- Advanced Python skills and the ability to produce dependable code on your own.

- Comfort juggling several priorities in a fast-paced startup.

- Sharp problem-solving, careful attention to detail, and strong communication and collaboration.

Bonus points

- Familiarity with world models.

- Prior work in scientific or physical-world areas such as robotics or simulation.

- Experience with managed machine learning services or large cloud providers.

- Backend development experience with a Python web framework and SQL.

- Background in CAD or geometry-focused computing.

Benefits

Compensation and benefits

- Base salary: USD 175,000 to 250,000 per year

- Equity

- Health, dental and vision coverage

- Flexible time off

- Professional development opportunities

Location and work model

- San Mateo, CA, United States

- On-site, 5 days per week in the office

- Full-time