Principal Machine Learning Engineer, Recommendations

Interested in Principal Machine Learning Engineer, Recommendations jobs in the United States? You're in the right place.

Investment in applied AI keeps Principal Machine Learning Engineer, Recommendations among the most competitive profiles in the United States in 2026, with San Francisco drawing a large share of the openings. Employers range from research driven labs to product teams shipping AI features at scale.

To move forward, simply upload your CV to wherewework, and we'll help connect you with real Principal Machine Learning Engineer, Recommendations openings from real companies, including the position you're viewing right now.

Here's how it works:
1. Upload your CV once. Click "Apply" in this window. It only takes a moment, and allows us to match your profile with relevant Principal Machine Learning Engineer, Recommendations opportunities.
2. We match you with real roles that fit your experience. When companies open Principal Machine Learning Engineer, Recommendations positions aligned with your skills, we'll identify the best opportunities for you.
3. You stay fully in control. Before your CV is ever shared, we'll notify you with the exact job title and company name, and ask for your confirmation.
4. Only confirmed applications are sent to employers. Once you approve, the employer receives your application and may contact you directly.

For Principal Machine Learning Engineer, Recommendations roles in San Francisco, salaries typically range from $19,600 to $28,000 gross per month, with an average gross salary of around $23,300. Pay rises with hands on experience shipping models to production, familiarity with modern ML and LLM tooling, and a track record on systems that operate at scale.

While you're here, explore wherewework to discover what it's really like to work at top technology and software companies in the United States, through interview experiences, employee reviews, and community feedback.