ML Engineer - Personalization & Recommendation Systems

You will architect and build personalization and recommendation systems from the ground up. You will model user preferences, create curated feeds, collaborate on generative-model personalization, and take systems from research through production and continuous improvement.

Responsibilities

• Architect and build personalization and recommendation systems
• Design algorithms that model user preferences and taste
• Build curated feeds that balance exploration, personalization, and aesthetic coherence
• Co-design personalization mechanisms for generative models
• Contribute to personalized image-generation research
• Collaborate with product, design, and research on personalization
• Take systems from research and prototyping through production and iteration

Requirements

• Experience building recommendation systems or personalized feeds from scratch
• Ability to design and ship curated content experiences
• Experience with media-based personalization
• Foundations in machine learning, representation learning, and deep learning
• Python
• PyTorch or JAX
• Ability to independently own complex systems end to end

Benefits

• Equity packages
• Health insurance
• Dental and vision insurance
• Health FSA accounts
• Long-term disability coverage
• Flexible PTO
• 401k with a 4% company-sponsored match
• Office meals
• Uber transit to and from the office
• Visa sponsorship