Engineering Manager, Core Applications – AI for Member Systems

Job Description: • Lead a senior applied science and ML engineering team that builds foundational personalization capabilities used by multiple product teams • Set the vision and roadmap for shared reward models, entity/metadata libraries, embedding utilities, and LLM post-training for personalization • Prioritize horizontal investments that create leverage across recommendations, search, messaging, and emerging GenAI experiences • Design and evolve APIs, abstractions, and integration patterns so downstream teams can adopt shared components while the Core team iterates on internals • Extend and generalize reward models to new content types and surfaces • Stand up and tune online utility modeling and optimization layers (e.g., bandits, policy learning, multi-objective optimization) that balance engagement and long-term member value • Shape shared post-training and alignment utilities for member-facing LLMs (e.g., supervised fine-tuning, RLHF/RLAIF) used in ranking, discovery, search, and messaging • Partner closely with AIMS foundations, product application teams, and ML platform/infra teams to ensure Core capabilities are aligned, integrated, and widely adopted • Hire, develop, and retain a diverse, high-caliber team of ML engineers and applied scientists, fostering an environment where senior talent can do their best work. Requirements: • 8+ years in applied ML/science or ML engineering, with 3+ years in a technical leadership or people management capacity • Experience leading applied ML, ML engineering, or applied science teams working on large-scale personalization, ranking, marketplace optimization, or related decision systems • Strong background in applied ML and recommender systems, including rewards, multi-objective optimization, and/or long-term value modeling • Demonstrated success driving horizontal or platform-like ML efforts where impact is measured by adoption and leverage across multiple teams • Proven ability to design and ship APIs, libraries, and reusable components that product teams can easily adopt and extend • Strong communication and influence skills; able to align senior partners across engineering, science, and product • Track record of building and leading diverse, high-performing technical teams in a fast-moving, high-autonomy environment. Benefits: • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off.