Principal, Machine Learning Engineer
4 weeks ago
Viant's Machine Learning team is redefining the Ad Tech industry by building cutting-edge machine learning systems that automate the complex processes of digital advertising. Our mission is to develop real-time, autonomous AI-driven solutions capable of handling hundreds of millions of events daily, optimizing decision-making, and maximizing impact at scale.
As a Principal Machine Learning Engineer, you will play a pivotal role in designing and deploying large-scale, low-latency machine learning systems. You will drive innovation, lead technical initiatives, and develop state-of-the-art AI solutions that accelerate Viant's growth and technological advancement. This role requires deep expertise in machine learning, system design, and a strong ability to collaborate across teams to deliver mission-critical AI solutions.
THE DAY-TO-DAY
- Lead and Architect Scalable ML Solutions - Design, develop, and deploy real-time, high-throughput, low-latency ML services in production environments.
- Advance MLOps Practices - Implement best-in-class MLOps strategies, automate model deployment, and optimize end-to-end machine learning workflows.
- Innovate with Generative AI - Research, develop, and integrate cutting-edge generative AI techniques into production-grade systems.
- Optimize Model Performance - Build high-performing ML models for large-scale decision-making while ensuring efficiency, reliability, and robustness.
- Drive Technical Strategy - Work closely with Engineering, Data Science, and Product teams to define and implement Viant's AI roadmap.
- Mentor and Elevate the Team - Provide technical leadership, mentor junior engineers, and foster a high-impact, collaborative team culture.
- Ensure Scalable Infrastructure - Work with distributed computing frameworks, cloud-based ML platforms, and modern AI tooling to enable large-scale training and inference.
- Experience: 7+ years in Machine Learning Engineering or a similar role, with a track record of building and scaling ML solutions in production.
- Generative AI Implementation: Practical experience in developing and deploying generative AI models, agentic systems for real-world applications.
- Technical Expertise: Proficiency in Python or Go, with deep experience in designing and optimizing scalable ML architectures.
- ML & Deep Learning Proficiency: Strong knowledge of modern deep learning techniques, including expertise in TensorFlow, PyTorch, LangChain, LangGraph or Llama Index.
- Production-Grade ML Systems: Experience deploying large-scale ML models in high-throughput, low-latency environments.
- MLOps Mastery: Hands-on experience with model versioning, CI/CD for ML, monitoring, and automated retraining pipelines.
- Cloud & Distributed Computing: Proficiency with cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks (e.g., Spark, Ray, or Dask).
- Generative AI Implementation: Practical experience in developing and deploying generative AI models for real-world applications.
- Cross-Functional Collaboration: Proven ability to work with product managers, data scientists, and software engineers to drive impactful AI solutions.
- Master's or PhD in Computer Science, Machine Learning, or a related field.
- Ad Tech industry experience or familiarity with digital advertising systems.
- Expertise in implementing reinforcement learning or causal inference techniques for decision-making models.
- Strong understanding of privacy-preserving ML techniques and compliance standards.
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.
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About Viant
Viant Technology Inc. (NASDAQ: DSP) is a leader in AI-powered programmatic advertising, dedicated to driving innovation in digital marketing. Our 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 Demand Side Platform by MarTech Breakthrough, Great Place to Work certification and received the Business Intelligence Group's Innovation award for AI Advancements. 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.
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