Machine Learning Engineering Intern

Join our innovative Machine Learning team at Viant and help revolutionize the Ad Tech industry! As a Machine Learning Intern, you will work on real-world projects, collaborate with talented engineers and data scientists, and gain hands-on experience developing and deploying machine learning systems. You’ll have the opportunity to contribute to solutions that process hundreds of millions of events daily, learn MLOps best practices, and explore emerging technologies like Generative AI.

To be considered for this opportunity, candidates must be available for the full duration of our internship program, running from June 16th to September 18th. This is an in-person internship based at our Irvine, CA office, with an on-site schedule Monday through Thursday and the option to work from home on Fridays. Standard working hours are 9:00 AM to 5:00 PM (PST).

THE DAY-TO-DAY

• Collaborate with engineers and data scientists to solve challenging business problems using machine learning.
• Assist in designing, developing, testing, and deploying scalable AI/ML services for real-time, high-throughput production workloads.
• Learn and apply MLOps principles to build robust model lifecycle pipelines.
• Experiment with Generative AI techniques and contribute to production-grade systems.
• Write clean, production-ready, and scalable code in a collaborative environment.
• Participate in code reviews and team discussions to enhance the performance and quality of ML solutions.
  
  

Desired Skills

• Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Strong programming skills in one or more languages, such as Python or Go.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.
• Passion for learning and implementing MLOps best practices.
• Strong problem-solving skills and a collaborative mindset.
• Experience with distributed computing frameworks (e.g., Spark, Ray, or Dask).
• Exposure to cloud platforms like AWS, GCP, or Azure.
• Knowledge of the Ad Tech industry or digital advertising systems.
• Understanding of data privacy, security, and compliance in machine learning.
  
  

Benefits

• Hands on experience with our engineering team
• Exposure to an agile work environment with ability to participate in team meetings and daily stand ups
• Networking events
• Fully stocked kitchen
• Casual Office Atmosphere
  
  

$30 - $30 an hour

In accordance with California law, the range provided is Viant’s reasonable estimate of the compensation for this role.

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.

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