Principal Applied Scientist, FAIM; Funnel Agentic Intelligence and Models); Advertising

Job :  |  Services LLC

The FAIM (Full Funnel Agentic Intelligence and Models) builds the agentic AI systems behind next-generation advertising. The team develops multimodal foundation models and LLM-driven agents that power shopper understanding, audience-aware creative generation, and agentic advertising workflows.

As a Principal Applied Scientist for the FAIM team, you will invent the models that help advertisers achieve desired outcomes. Today's state of the art models can setup ad campaigns to a specification, but do not understand advertising strategy well enough to help with abstract goals that real advertisers ask about like "how can I make more money."

This is a rare charter to build foundational optimization science where little exists today, spanning campaign recommendation, cross-product budget allocation, incrementality measurement, and long-term-sales modeling. You will set technical direction for a growing team, partner with engineering and product to take models from research to production at Amazon scale, and directly move advertiser ROAS and new-to-brand growth.

• Own the science vision for training models in our RL Gym from end-to-end
• Invent models for joint budget allocation, incrementality, and long-term value
• Take innovations from prototype to production serving live advertiser campaigns
• Raise the technical bar across scientists and engineers

• Define the long-term scientific vision for our RL Gym based training process focusing on campaign optimization and other advertising workflows
• Translating ambiguous advertiser needs and competing objectives into a concrete science roadmap.
• Invent, prototype, and product ionize machine learning and optimization solutions for joint budget allocation across sponsored ad products, spanning the shopper journey from awareness to purchase.
• Develop rigorous approaches to incrementality measurement and long-term-sales modeling that ground optimization in true advertiser value.
• Design and lead large-scale experiments and analyses to validate hypotheses and guide product direction.
• Partner closely with engineering and product to define technical contracts, data schemas, and serving systems that carry models into production.
• Raise the technical bar across science and engineering through mentorship, design reviews, and hands‑on collaboration.
• Grow scientific talent and publish impactful research internally and at top-tier venues.

• PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
• 5+ years of hands‑on experience in predictive modeling and analysis
• Experience distilling informal customer requirements into problem definitions while dealing with ambiguity and competing objectives
• Experience programming in Java, C++, Python, or related language
• Experience leading experienced scientists, as well as a record of developing junior members from academia or industry into a career track in a business environment

• 10+ years of relevant experience in industry or academia
• Knowledge of problem solving, algorithm design, and complexity analysis
• Experience creating novel algorithms and advancing the state of the art
• Peer-reviewed scientific contributions in premier journals and conferences

Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company…