Machine Learning Engineer

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