Principal Machine Learning Engineer, Research - Ad Platforms

5 Months ago • 10 Years + • Artificial Intelligence • $202,900 PA - $297,900 PA

Job Summary

Job Description

The Principal Machine Learning Engineer will drive innovation and apply state-of-the-art AI/ML to enhance advertising aspects like inventory forecasting, ad experience, pricing, targeting, and delivery. Responsibilities include designing and iterating ad algorithm architecture, developing scalable data analysis and model development approaches, building and optimizing algorithms, and collaborating with cross-functional teams. The role requires leading projects, mentoring team members, and enhancing business effectiveness through advanced research and innovation within the advertising system.
Must have:
  • 10+ years relevant engineering experience
  • Strong AI/ML knowledge and implementation experience
  • Proficient in Java, Python, Scala, large-scale ML/DL platforms
  • Experience collaborating and leading cross-functional projects
  • Passion for understanding the ad business and innovation
Good to have:
  • MS or PhD in Computer Science
  • Advertising domain experience
  • Large-scale machine learning experience
  • LLM and GenAI experience
  • Forecasting algorithm experience
  • Experience with Tensorflow, Kubeflow, or Sagemaker
  • Experience with feature store, audience segmentation, and MLOps

Job Details

Job Summary:

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

  • Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
  • Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
  • Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. 

 

The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Disney's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science. Our team is seeking a principal machine learning engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you! 

 

WHAT YOU’LL DO 

  • Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. 

  • Invent and iterate novel solutions for complex ad challenges with fast turnaround. 

  • Lead the ad algorithm architecture design and iteration of the advertising system. 

  • Develop and implement scalable and efficient approaches for large scale data analysis and model development.  

  • Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization. 

  • Collaborate with engineering teams, product managers, and program managers in an open and creative environment.  

  • Mentor team members and support their technical growth. 

 

Minimum Qualifications 

  • Bachelors in computer science or related field of study 

  • 10+ years of relevant engineering experience working experience at leading technology companies.  

  • Strong knowledge of and experience implementing AI/ML technologies, mathematics and statistics. 

  • Ability to collaborate with and lead projects across cross-functional teams such as Product Management, Architecture, and other Engineering teams 

  • Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack. 

  • Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness. 

  • Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications. 

  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required. 

 

NICE-TO-HAVES 

  • MS or PhD(preferred) in computer science or equivalent experience  

  • Experience in the advertising domain is preferred.   

  • Experience in large scale machine learning. 

  • Experience in LLM and GenAI. 

  • Experience with forecasting algorithm is preferred.  

  • Experience in digital video advertising or digital marketing domain 

  • Experience with CTR/CVR model, generative AI, forecasting model. 

  • Experience with feature store, audience segmentation and MLOps 

  • Experience with Tensorflow, Kubeflow or Sagemaker 


The hiring range for this position in Los Angeles, CA is $202,900-$272,100 per year, in Seattle, WA is $212,600-$285,100 per year, and in San Francisco, CA is $222,200-$297,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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