Machine Learning Engineer Artificial intelligence company San Francisco, California $200k to $350k USD base a year Posted yesterday

raydar; San Francisco (CA); Sur place; USD 200 000 - 350 000; Plein temps

Avantages offerts par ce poste

Equity

Résumé du poste

Raydar is hiring a Machine Learning Engineer in San Francisco to own the model development lifecycle from experimentation to deployment. You will train and refine generative models for images and video, design evaluation suites, and build compact in-house models to boost speed and quality.

You will curate datasets from user activity and expert judgments, and lead example collection and annotation to keep model outputs improving in a fast-moving team.

Qualifications

• 3 to 6 years of experience as a machine learning engineer.
• Hands-on with current generative approaches for images and video (diffusion).
• Proven track record taking models from training to production.
• Strong judgment on dataset design, annotation and curation.
• Hands-on implementer mindset; deliver working systems.
• Experience on a CV or generative media team; comfortable owning modeling work in a fast-moving setting.

Responsabilités

• Train, adapt and assess generative models powering the software product.
• Design evaluation suites and iterative feedback for image/video models.
• Convert user activity and expert judgment into curated training/testing datasets.
• Develop compact in-house models for speed and quality.
• Determine which examples to gather, annotate and refine to improve outputs.

Connaissances

Generative models

Diffusion

Computer vision

Model deployment

Dataset design

Description du poste

# Machine Learning EngineerArtificial intelligence company* LocationSan Francisco, California* TypeFull-time* Posted22 October 2026Apply for this roleTalk to us firstYou apply on Workable, where Raydar manages applications.The role, as published## About the companyOur client is an artificial intelligence company.## The roleRaydar 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.## 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.## Location and work model* San Francisco, California, United States* On-site* Full-time## Compensation, as the posting describes it* EquityPay$200k to $350kUSD base a year