# Machine Learning Engineer

> Raydar · San Francisco, United States · Full-time · Posted 2026-10-22

**Salary:** USD 200,000–350,000

**Workplace:** on_site

## Description

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

## Apply

[Apply at Raydar](https://apply.workable.com/raydar/j/AB3B8D7C53/apply)

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