Staff Research Scientist, AdTech Product Innovation
About The Position
At Cognitiv, we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission is to bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. Our innovative platform offers advertisers unprecedented flexibility. We are looking for a Staff Research Scientist to join Cognitiv’s New Initiatives team, the group responsible for turning emerging AI research into entirely new product lines. This team built AudienceGPT, ContextGPT (now in its second generation), AI Personas, and the user embedding systems underneath all of them. Work coming out of this team regularly becomes a company product announcement. This is not a conventional research role. It sits at the intersection of deep technical research, product intuition, and industry foresight. You won’t be handed a well-scoped problem — you’ll need to spot the opportunity, prove it out technically, and carry it from idea to shipped product. We’re looking for someone who thinks like a builder and a product person as much as a researcher: someone who knows the AdTech and LLM landscape well enough to see where it’s headed, and can generate, prototype, and validate ideas most people wouldn’t think to try.
Requirements
- 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 it'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.
- Experience taking a product from idea to launch, in a startup, incubator, or new-initiatives-style team.
- 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.
- Able to explain technical work clearly to non-technical audiences — this team’s work often becomes the centerpiece of a public product announcement.
- Proactively identifies problems and opportunities and takes ownership without waiting to be told.
- Strong written and verbal communication skills, comfortable working across research, engineering, and product in a fast-paced environment.
Nice To Haves
- Experience being the technical face of a launch — blog posts, talks, demos, or press.
- A track record of published research or meaningful contributions to the ML community.
Responsibilities
- Generate Product Ideas. Track the AdTech, programmatic, and LLM landscape closely enough to spot real product opportunities before they're obvious — then make the case for them.
- Prototype Fast. Turn a raw idea into a working proof of concept quickly, using LLMs, embeddings, and applied deep learning to test whether it actually holds up.
- Own It End to End. Take validated ideas from research prototype through to production-ready systems, working closely with engineering to ship them — not just hand off a paper or a notebook.
- Push Context, Persona, and Embedding Research Forward. Extend the modeling that powers AudienceGPT, ContextGPT, and AI Personas, and explore what the next generation of these systems should be.
- Shape the Story. Partner with product and marketing to translate technical work into the narrative behind a launch — this team's output regularly becomes a public product announcement.
- Stay Ahead of the Industry. Maintain a deep, current understanding of AdTech, real-time bidding, and where LLM-driven advertising products are going, and bring that thinking back into the roadmap.
- Collaborate Cross-Functionally. Work closely with research, engineering, product, and executive stakeholders to pressure-test ideas and get them to market.
Benefits
- Medical, Dental and Vision plan for US employees & Extended Health Benefits for Canadian employees
- 12 weeks paid parental leave + 4 weeks WFH
- Unlimited PTO + Work-From-Anywhere August
- Career development with clear advancement paths
- Equity for all employees
- Hybrid work model & daily team lunch
- Health & wellness stipend + cell phone reimbursement
- 401(k) & RRSP with employer match
- Parking (CA, WA, Vancouver offices) & pre-tax commuter benefits
- Employee Assistance Program
- Comprehensive onboarding (Cognitiv University)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
