About this role
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