We are seeking a high-potential Senior Applied Scientist (Early Career) to contribute to the development of next-generation machine learning models across optimization, targeting, and measurement systems. In this role, you will work closely with senior scientists and engineers to design, experiment with, and deploy ML solutions that drive measurable business impact.
This is an opportunity to apply strong research foundations to real-world production systems at scale while growing into a technical leader within the organization.
- Develop & Evaluate ML Models – Contribute to the design, implementation, and evaluation of machine learning models across areas such as NLP, deep learning, optimization, and personalization.
- Collaborate on Production Systems – Partner with engineers to help deploy and monitor models in large-scale, real-time environments.
- Experimentation & Analysis – Design and analyze A/B experiments to evaluate model performance and support data-driven decision-making.
- Research & Innovation – Stay current with advances in ML and AI, applying modern techniques to practical advertising and measurement challenges.
- Cross-Functional Collaboration – Work closely with Product, Engineering, and Data teams to translate business problems into scalable modeling solutions.
- Continuous Learning & Growth – Receive mentorship from senior scientists while building technical depth in production ML systems.
- Experience: 3+ years of experience building machine learning models OR recent PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field
- Strong ML Foundations – Solid understanding of: Supervised and unsupervised learning, Statistical modeling, Optimization methods, Model evaluation and validation.
- Programming Skills: Proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or similar.
- Data & Experimentation Skills – Experience working with structured datasets and conducting rigorous experimental analysis.
- Problem-Solving Ability – Ability to break down ambiguous problems and develop practical modeling approaches with guidance.
- Research experience in deep learning, NLP, reinforcement learning, or causal inference
- Internship or industry experience deploying ML models
- Experience with SQL and large-scale datasets
- Exposure to cloud environments (AWS, GCP, Azure)
- Interest in Ad Tech, real-time systems, or large-scale personalization
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.
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Viant Technology Inc. (NASDAQ: DSP) is an exclusively buy-side advertising platform powered by artificial intelligence and designed to drive performance across the open internet. Our omnichannel platform purpose-built for CTV turns data and intelligence into scalable, measurable performance for advertisers. With the launch of ViantAI and Outcomes, Viant has been at the forefront of AI innovation in advertising, building the future of fully autonomous solutions. Viant has been recognized for excellence in AI by Adweek, the Business Intelligence Group and MarTech Breakthrough and is Great Place to Work® certified. Learn more at viantinc.com.
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