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