Senior Applied Scientist at Viant Technology

Los Angeles, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

200000.0

Posted On

18 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, NLP, Deep Learning, Optimization, Personalization, Python, PyTorch, TensorFlow, A/B Testing, Statistical Modeling, Model Evaluation, SQL, Cloud Environments, Reinforcement Learning, Causal Inference

Industry

Advertising Services

Description

WHAT YOU’LL DO Viant’s Machine Learning team is at the forefront of transforming the Ad Tech industry through cutting-edge machine learning and AI-driven automation. By eliminating manual processes in digital ad creation, optimization, and measurement, we build autonomous, scalable systems that process hundreds of millions of events daily. 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. THE DAY-TO-DAY 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. MUST HAVE Experience: 1-2 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. GREAT TO HAVE 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 LIFE AT VIANT 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. Base compensation range: $160,000 - $200,000 In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education. #LI-KW1 About Viant Viant Technology Inc. (NASDAQ: DSP) is a leader in CTV and AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Viant’s omnichannel platform built for CTV allows marketers to plan, execute and measure their campaigns with unmatched precision and efficiency. With the launch of ViantAI, Viant is building the future of fully autonomous advertising solutions, empowering advertisers to achieve their boldest goals. Viant was recently awarded Best AI-Powered Advertising Solution and Best Demand-Side Platform by MarTech Breakthrough, Great Place to Work® certification and received the Business Intelligence Group’s AI Excellence Award. Learn more at viantinc.com. Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. By clicking “Apply for this Job” and providing any information, I accept the Viant California Personnel Privacy Notice.

Responsibilities

The role involves developing, implementing, and evaluating next-generation machine learning models across optimization, targeting, and measurement systems, often involving NLP and deep learning techniques. Responsibilities also include collaborating with engineers to deploy and monitor these models in large-scale, real-time production environments.