About the company
Our client is an artificial intelligence company.
The role
Raydar is recruiting for this role on behalf of our client. Own the model development lifecycle for a software product, from experimentation through evaluation and deployment. Work as an individual contributor on a small team, creating the measurement tools and datasets that guide model quality.
What you'll do
- Train, adapt and assess generative models that power a software product.
- Design evaluation suites and iterative feedback processes to compare image and video models.
- Convert user activity and expert human judgment into curated datasets for training and testing.
- Develop compact in-house models aimed at better speed and quality.
- Determine which examples to gather, annotate and refine so that model output keeps getting better.
Requirements
What we're looking for
- 3 to 6 years of experience as a machine learning engineer.
- Practical background with current generative approaches for images and video, such as diffusion.
- Proven record of taking models from training through to production use.
- Sound judgment about dataset design, annotation and curation.
- An implementer's mindset: you build and deliver working systems rather than only advising or publishing.
- Experience on a respected computer vision or generative media team.
- Comfort being the main owner of modeling work in a small, fast-moving environment.
Benefits
Compensation and benefits
- Base salary: USD 200,000 to 350,000 per year
- Equity
Location and work model
- San Francisco, California, United States
- On-site
- Full-time