Staff Product Software Engineer (ML) (Bengaluru)

Staff Product Software Engineer (ML) (Bengaluru)

29 Aug
|
Disneycareers
|
Bengaluru

29 Aug

Disneycareers

Bengaluru

Job Posting Title

Staff Product Software Engineer (ML)

Req ID

10152210

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 cutting-edge 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

📌 Staff Product Software Engineer (ML) (Bengaluru)
🏢 Disneycareers
📍 Bengaluru

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