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
Skills Required
- Around 4 or more years of industry experience as a machine learning engineer, or comparable research experience
- Graduate degree in a quantitative field such as computer science
- Strong grounding in machine learning
- Experience designing neural networks from the ground up
- Experience developing original modeling approaches rather than relying solely 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 systems in production
- Advanced Python skills and ability to produce dependable code independently
- Ability to manage multiple priorities in a fast-paced startup
- Strong problem-solving, attention to detail, communication, and collaboration skills
- Familiarity with world models
- Experience in scientific or physical-world fields such as robotics or simulation
- Experience with managed machine learning services or major cloud providers
- Backend development experience with a Python web framework and SQL
- Background in CAD or geometry-focused computing
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
