WHAT YOU’LL DO
- Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
- Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
- Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
- Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
- Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
- Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.
- Experience: 4+ years of experience building and deploying machine learning models at scale.
- Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
- Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
- Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
- Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.
- Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
- Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
- Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
- Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.
Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
#LI-KW1
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Skills Required
- 7+ years of experience building and deploying machine learning models at scale
- Demonstrated ability to lead complex, high-ambiguity ML projects from research to production
- Masters or PhD in Computer Science, Machine Learning, Statistics, or related field
- At least two peer-reviewed publications in deep learning, NLP, or a related AI domain
- Strong foundation in deep learning, NLP, generative AI, and causal inference
- Proficiency in Python and deep learning frameworks like TensorFlow and PyTorch
- Experience with distributed computing and cloud ML platforms like AWS, GCP, or Azure
What We Do
Viant® is a publicly traded (Nasdaq: DSP) people-based advertising software company that enables ad buyers to plan, create, execute, and measure their omnichannel digital advertising investments. Its self-service DSP for omnichannel advertising, Adelphic®, provides the ability to execute programmatic advertising campaigns across TV, mobile, desktop, audio, digital out-of-home, and is the only DSP with IPv6 support for CTV environments. Viant’s proprietary, first-party data is linked to 115 million households, over 1 billion connected devices, and is combined with access to more than 280,000 audience attributes from more than 70 people-based data partners to enable scaled and accurate audience targeting and attribution. Viant is an Inc. Best Places to Work award winner and Adelphic is featured on AdExchanger’s Programmatic Power Players list.
