Senior Machine Learning Scientist - Personalization

What you'll do

• Design and deliver end-to-end ML solutions, from problem formulation and data exploration through model development, evaluation, and iteration.
• Partner with engineering, product, and business teams to integrate ML into scalable services and workflows.
• Improve technical quality through experimentation, documentation, mentoring, and reusable approaches.

What they ask for

• Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.
• 8+ years of relevant professional experience.
• Demonstrated ownership of machine-learning solutions, including problem definition, model development, evaluation, and operationalization.
• Strong foundation in machine-learning methods, statistical analysis, experimentation, and data-driven decision making, with hands-on coding experience.

Nice to have

• Advanced degree in a related quantitative field; experience delivering ML solutions at scale.
• Experience in recommendation, ranking, retrieval, personalization, or related applied ML systems, including neural recommenders or foundation-model-based personalization.

Pay

$187,000.00 to $261,500.00 USD total cash; up to $299,000.00 USD total cash (top of range) in San Jose; $173,000.00 to $242,500.00 USD total cash; up to $277,000.00 USD total cash (top of range) in Seattle.

AI focus

Develop and operate deep-learning personalization systems, including recommendation, ranking, retrieval, sequential modeling, and foundation-model-based personalization; integrate AI/ML-enabled solutions into real-world products.