Staff Product Software Engineer (ML)

Summary

Lead/Staff ML Engineer at Disney's Ad Platforms building scalable prediction and optimization engines for addressable advertising across Disney, Hulu, and ESPN+. Core stack: Java, Python, Scala, TensorFlow, Kubeflow, SageMaker, plus large-scale ML/DL platforms and MLOps tooling.

Job Posting Title:

Staff Product Software Engineer (ML)

Req ID:

10152210

Job Description:

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.

Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance Ad serving capabilities. We are seeking a seasoned Lead Machine Learning Engineer to join this innovative team to spearhead initiatives that shape the future of advertising technology.

Job Summary:

We are looking for a proactive and innovative Lead Machine Learning Engineer to join our team. This pivotal role involves leading the development of prediction and/or optimization engines for our addressable ad platforms. The ideal candidate will have significant experience in designing and implementing machine learning technologies and/or data-driven algorithms, making this an excellent opportunity.

This role offers a unique leadership opportunity for someone who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration.

Responsibilities and Duties of the Role:

● 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.

● 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 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.

Required Education, Experience/Skills/Training:

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

● At least 7 years of working experience on large scale machine learning at leading internet companies. Experience in the advertising domain is preferred. Experience with forecasting algorithms is preferred.

● Strong knowledge of AI/ML technologies, mathematics and statistics.

● 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.

Preferred Qualifications:

● 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

Job Posting Segment:

Disney Entertainment and ESPN Product & Technology

Job Posting Primary Business:

Ad Platforms

Primary Job Posting Category:

Product Software Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Bangalore, India

Alternate City, State, Region, Postal Code:

Date Posted:

2026-08-26

See also

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