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