Snap
Director, Machine Learning Engineer, Content
$284K–$500K
Palo Alto, California +3 · Director · Full-time · Posted Oct 22, 2026
- Location
- Palo Alto, California
San Francisco, California
Los Angeles, California
Bellevue, Washington - Experience
- 10+ years post-bachelor’s; or 9+ years post-graduate with a technical master’s; or 6+ years post-graduate with a related technical PhD. Also requires 5+ years leading a large team at scale.
- Education
- Bachelor’s degree in a relevant technical field or equivalent years of practical work experience; alternatives include a technical master’s degree or related technical PhD as specified.
About the job
Leads Snap’s Content Machine Learning Engineering organization, setting strategy and overseeing systems that understand, retrieve, and rank content for Stories and Spotlight.
What you'll do
- Set the multi-year ML strategy and technical and organizational roadmap for recommendation, ranking, content understanding, reliability, and experimentation.
- Oversee team operations across multiple offices and collaborate with executives and cross-functional partners on architecture and product outcomes.
- Build and scale engineering teams; mentor and develop managers, directors, and senior technical contributors.
What they ask for
- Bachelor’s degree in a relevant technical field or equivalent years of practical work experience.
- 10+ years of post-bachelor’s software engineering experience; or a technical master’s degree plus 9+ years of post-graduate software development experience; or a related technical PhD plus 6+ years of post-graduate software development experience.
- 5+ years leading a large team at scale and managing engineering with an eye to driving efficiency.
- Experience working with ML, AI, and ranking systems.
Nice to have
- Experience with Machine Learning and Generative Recommendations.
- Experience with high-scale ranking and recommendation systems.
Pay
$334,000-$500,000 annually (base salary); $317,000-$475,000 annually (base salary); $284,000-$425,000 annually (base salary)
Tools
machine learning, deep learning, graph representation learning, ranking systems, recommendation systems
AI focus
Leads ML strategy and teams building personalized content retrieval and ranking, multimodal content understanding, and recommendation systems for Stories and Spotlight.
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