What you’ll do

• PhD or equivalent research depth, with a track record of technical mentorship. PhD in CS, Statistics, Math, or Physics. Publications in SIGIR, KDD, NeurIPS, or ICLR, and 5+ years building large-scale recommender systems in AdTech, e-commerce, or social. You’ve owned architectural bets and had accountability for outcomes.

• You set the research direction. You identify the highest-leverage problems at the intersection of generative AI and recommendation, define the multi-quarter research agenda, and align engineering and product leadership. That means owning how Generative Retrieval, Deep Ranking, and Re-ranking evolve across a stack built on 770 million users' behavioral data.

• Deep expertise in PyTorch and large-scale model optimization. Hands-on with high-concurrency optimization, quantization, and distillation — getting large generative models to run under extreme production constraints, not just in research environments.

• You are the company's deepest resource on generative recommendation. You translate SOTA research into systems adjoe can ship, review architectural decisions across teams, and raise the ML quality bar company-wide. When there's a hard bottleneck, you're the first call.

• You grow the teams around you. You mentor senior and mid-level scientists, lead architectural debates, and drive long-horizon investments without needing a roadmap handed to you.

What’s in It for You?

At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.

• Go Big. Own projects with impact on 770M users and push adtech boundaries.