Staff Research Scientist, AdTech Product Innovation
$220,000–$300,000 year
HybridBellevue, Washington, United States
Job Summary
Track the AdTech, programmatic, and LLM landscape to spot emerging product opportunities before they become obvious. Turn raw ideas into working proof of concepts using LLMs, embeddings, and applied deep learning, then own them end-to-end from prototype to production-ready systems. Extend modeling for AudienceGPT, ContextGPT, and AI Personas while partnering with product and marketing to translate technical work into public launch narratives. Collaborate cross-functionally with research, engineering, and executive stakeholders to pressure-test concepts and ship new product lines. Based in Bellevue or San Mateo with a hybrid schedule, this role sits at the intersection of deep technical research and industry foresight.
Required Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field
- 7+ years of experience in ML R&D or applied ML
- Deep understanding of the AdTech, programmatic advertising, and RTB landscape
- Strong technical expertise in PyTorch, transformers, and LLMs, including large-scale training, fine-tuning, and optimization
- Strong Python fundamentals and software engineering practice
- Experience building models for real-time, high-throughput systems
- Experience taking a product from idea to launch, in a startup, incubator, or new-initiatives-style team
- Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 7+ years of experience in ML R&D or applied ML — paired with genuine curiosity about product and a bias toward shipping
- Deep understanding of the AdTech, programmatic advertising, and RTB landscape — not just where it is today, but where's headed next
- A track record of originating ideas, not just executing on someone else's spec
- Comfortable operating with little direction and turning ambiguity into a concrete plan
- Able to explain technical work clearly to non-technical audiences
- Strong written and verbal communication skills
- Comfortable working across research, engineering, and product in a fast-paced environment
- Location: This position is based in either our Bellevue WA office or San Mateo, CA office with a hybrid schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thu/Fri)
- AdTech Industry Fluency
- A Shipped 0-to-1 Product
- Deep Learning & LLM Expertise
- Engineering Excellence
- Communicator & Storyteller
- Bias to Action & Initiative
- Collaborative
Desired Qualifications
- Public Technical Voice. Experience being the technical face of a launch — blog posts, talks, demos, or press.
- Research & Community Impact. A track record of published research or meaningful contributions to the ML community.
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