- Raydar
- San Mateo, CA
- Full-Time
- 17 days ago
- $175,000–$250,000 / year
Machine Learning Engineer.
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Machine Learning Engineer: our view in 3 lines...
- The Role:This industry role is for an experienced machine learning engineer developing models for a software product, with research-informed modeling and production delivery in scope.
- The Person:The engineer will develop neural models, manage data preparation and experiment tooling, deploy and monitor models in production, refine them using real usage, and work with product colleagues to release new capabilities.
- Requirements:The role calls for advanced Python, PyTorch or a similar deep learning library, hands-on large language model and transformer experience, graph-based neural architectures, and production machine learning experience.
About the 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