Sr Machine Learning Engineer
The Walt Disney Company
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Job summary
The Walt Disney Company’s News ML team seeks a Senior Machine Learning Engineer to lead scalable ML infrastructure for real-time content personalization across ABC News, Good Morning America, and local stations. You will guide data exploration, model deployment, and monitoring, collaborating with product, data, and engineering units to deliver high-impact, low-latency experiences.
You will design end-to-end ML solutions, mentor engineers, and contribute to documentation while aligning with
Qualifications
- Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience.
- 5+ years of experience building and operating ML engineering systems in production environments.
- Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems.
- Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving.
- Experience designing and developing backend microservices for large-scale distributed systems using REST.
- Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize).
- Familiarity with developing and deploying Spark and ML pipelines.
- Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka.
- Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals.
- Experience with observability tools for metrics, logging, and monitoring such as Datadog.
- Experience working in Agile/Scrum development environments.
- Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment.
Responsibilities
- Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence.
- Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries.
- Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs.
- Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions.
- Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution.
- Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response.
- Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement.
- Contribute to technical documentation and promote knowledge sharing across teams.
Skills
Education
Tools
Job description
Job ID 10147760 Location New York, New York, United States / Glendale, California, United States Business Disney Entertainment and ESPN Product & Technology Date postedJun. 01, 2026
Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
Here are a few reasons why we think you’d love working here:
Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity.
The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations. Our services leverage machine learning models to enable real‑time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging news content tailored to their interests. Our mission is to drive seamless, resilient, and low‑latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms.
As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in‑depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences. Your work will directly support strategic initiatives to help shape the roadmap for algorithmic innovation while ensuring that solutions are scalable, impactful, and aligned with stakeholder needs.
- Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence
- Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries
- Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs
- Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
- Strategically prioritize initiatives and technical workstreams to deliver the highest‑impact and most time‑sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution
- Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
- Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement
- Contribute to technical documentation and promote knowledge sharing across teams
- Bachelor’s degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
- 5+ years of experience building and operating ML engineering systems in production environments
- Expertise in data science, deep learning algorithms, or statistical methods to solve real‑world engineering problems
- Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low‑latency online serving
- Experience designing and developing backend microservices for large‑scale distributed systems using REST
- Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
- Familiarity with developing and deploying Spark and ML pipelines
- Hands‑on experience with big data technologies such as Databricks, Kinesis, Kafka
- Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals
- Experience with observability tools for metrics, logging, and monitoring such as Datadog
- Experience working in Agile/Scrum development environments
- Excellent communication skills and a commitment to collaboration in a fast‑paced, guest‑focused environment
#disneytech
The hiring range for this position in New York, NY is $148,700 - $199,400 per year and in Glendale, CA is $141,900 - $190,300. 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.
At Disney Entertainment and ESPN Product & Technology, we’re blending imagination and innovation to reimagine the ways people experience and engage with the world’s most beloved stories and products. Our work is wide‑ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love.
Disney’s ability to marry world‑class technology with one‑of‑a‑kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world‑class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Entertainment & Sports LLC , which is part of a business we call Disney Entertainment and ESPN Product & Technology .
Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
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