Factored

Machine Learning Engineer (Recommender Systems)

Factored

1 year ago
Remote
Full Time
Senior
0 applicants
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Factored
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About this role

Fully remote Machine Learning Engineer at Factored, focused on building state-of-the-art recommender systems and leveraging Generative AI to improve user experiences. You’ll join a collaborative, growth-oriented team that values learning, ownership, and transparency. Factored, founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, is committed to empowering brilliant humans to unleash their potential and amplify their impact.

Skills

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Factored

About Factored

factored.ai

Factored is a talent and engineering services firm that builds high‑caliber AI, machine learning, and data teams for product and R&D organizations. They source and rigorously vet the top 1% of engineers and embed them with customers to accelerate roadmaps, deliver production ML systems, and scale data infrastructure. Factored offers flexible engagement models—dedicated teams, contract engineering, and hiring support—backed by expertise in ML engineering, MLOps, and data platforms. Companies partner with Factored to quickly add senior technical capacity and move models and pipelines from prototype to production.

About Factored

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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