About the company
Our client is a software company.
The role
Raydar is recruiting for this role on behalf of our client. Run rapid, self-directed experiments to improve the accuracy of AI systems that work with visual and text inputs. Combine software engineering speed with machine learning rigor, building tooling and evaluations while staying close to users.
What you'll do
- Form hypotheses and run time-boxed experiments to raise the accuracy of multimodal AI models.
- Review experiment outcomes and adjust your approach to shape your own research priorities.
- Work on model fine-tuning, distillation, retrieval and context design.
- Run computer vision evaluations and build internal tools that speed up experimentation.
- Speak with users regularly and use the product yourself each week.
Requirements
What we're looking for
- 2 to 8 years of experience as a software or AI engineer.
- Bachelor's degree in Computer Science or a related technical field.
- Strong autonomy: you manage your own workload and generate experiments without direction.
- Daily use of AI coding tools.
- A balance of software engineering speed and machine learning rigor, with real experimentation skills.
- Eagerness to grow from a software engineer into an engineer who runs AI experiments.
- Ability to work in person five days a week.
Bonus points
- Experience at early-stage startups.
- Genuine interest in housing, urbanism or related policy topics.
Benefits
Compensation and benefits
- Base salary: USD 165,000 to 210,000 per year
- Equity
- Retirement plan
- Health coverage
- Health savings account contribution
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
