Machine Learning Engineer
- $180,000–$300,000 per year
- Full Time
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. Build applied AI systems on large language and vision-language models, carrying promising experiments through to dependable production tools. The role suits an engineer who likes untangling loosely defined problems and learning specialist processes directly from the people who run them.
What you'll do
- Build agentic systems on large language and vision-language models that interpret two- and three-dimensional spatial data.
- Rapidly test and refine model-driven approaches to generating spatial content and producing technical documents.
- Connect AI components with widely used design, documentation and project management software.
- Partner with external model providers to design and run evaluations for the domain.
- Study established specialist workflows with in-house experts and translate them into AI-driven systems.
Requirements
What we're looking for
- One to eight years of experience in a product or engineering role building AI-centered products.
- Ability to take ambiguous problems and turn them into dependable, efficient solutions.
- Strong engineering fundamentals.
- Experience collaborating with technical and non-technical stakeholders to understand domain workflows.
- Ability to work on site in San Francisco five days a week.
Benefits
Compensation and benefits
- Base salary: USD 180,000 to 300,000 per year
- Health, dental and vision coverage
Location and work model
- San Francisco, California, United States
- On-site
- Full-time
- In-person five days a week