Staff Machine Learning Engineer (Recommendation & AI Platform)

• We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives
• In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows
• This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions
• Lead the design of next-generation recommendation system architectures at scale
• Drive best practices for model lifecycle management, experimentation, and system reliability
• Partner with product, infra, and data teams to align technical strategy with business goals
• Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization
• Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling
• Evaluate emerging AI technologies and guide their adoption into production systems
• Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis
• Help establish standards and shared tooling for AI-driven engineering
• Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling
• Ensure successful prototypes evolve into maintainable, scalable platforms

Benefits

• Work from home opportunities
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefit programs
• Team activity budget
• Top-tier 401(K) plan with company matching
• Health, dental, and vision care for you and your family- Deep expertise in recommendation systems and applied machine learning in production environments
• Proven track record of technical leadership and cross-team collaboration
• Strong system design skills and the ability to influence architecture across teams
• Experience leading 0 → 1 AI platform or product initiatives
• Passion for improving engineering velocity through AI-assisted development workflows
• Demonstrated success applying LLMs or foundation models to recommendation or content systems in production
• 8+ years of industry experience building large-scale ML or recommendation systems