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# Sr Machine Learning Engineer

- **Company:** THE WALT DISNEY CO.
- **Location:** Glendale, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Computing, Software Quality, Continuous Integration, Data Discovery, Distributed Systems, Machine Learning, Object Detection, Scrum Methodology, Recommender Systems, Azure Machine Learning, Software Deployment, Datadog, Grafana, Apache Spark, Deep Learning, Backend, Apache Kafka, Machine Learning Operations, Amazon Simple Queue Service (SQS), Data Pipelines, Databricks, Microservices
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/sr-machine-learning-engineer-glendale-ca-usa-58863673

## About the Role

editorial, and engineering stakeholders to translate business needs into robust solutions * Prioritize initiatives to deliver high-impact, time-sensitive outcomes while mitigating risks * Promote engineering best practices across code quality, testing, CI/CD, observability, and incident response * Mentor and coach engineers to foster ownership, collaboration, and continuous improvement * Contribute to technical documentation and knowledge sharing across teams Tasks * 5+ years of experience building and operating ML engineering systems in production * Expertise in data science, deep learning algorithms, or statistical methods * Experience with backend microservices for large-scale distributed systems using REST * Cloud infrastructure experience, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) * Familiarity with Spark and ML pipelines * Hands-on experience with Databricks, Kinesis, Kafka * Leadership, coaching, and mentoring skills * Experience with observability aaat
_ like Datadog * Experience with Agile/Scrum development environments * Excellent communication and collaboration skills Key requirements * bonus and/or long-term incentive units * medical benefits * financial benefits * equal opportunity employer * fast-paced guest-focused environment

## Description

Experteer Overview As a Senior Machine Learning Engineer, you will shape the technical direction of the News ML Platform and build infrastructure for scalable learning, inference, and monitoring. You will drive data pipelines, feature libraries, and ML workflows to deliver personalized news experiences at scale. Collaborating with product, data, and engineering teams, you'll influence the roadmap for algorithmic innovation and ensure robust, low-latency delivery for ABC News and related properties. This role offers impact across a high-visibility media tech ecosystem and a culture that blends imagination with engineering excellence. Compensation / Benefits * Own complex technical initiatives from design to production deployment and operations * Design and develop ML infrastructure, data pipelines, data discovery and quality tools, and feature libraries * Drive ML-driven solutions for recommendation systems, object detection, autogenerated tagging, and RAGs * Collaborate with product, editorial, and engineering stakeholders to translate business needs into robust solutions * Prioritize initiatives to deliver high-impact, time-sensitive outcomes while mitigating risks * Promote engineering best practices across code quality, testing, CI/CD, observability, and incident response * Mentor and coach engineers to foster ownership, collaboration, and continuous improvement * Contribute to technical documentation and knowledge sharing across teams Tasks * 5+ years of experience building and operating ML engineering systems in production * Expertise in data science, deep learning algorithms, or statistical methods * Experience with backend microservices for large-scale distributed systems using REST * Cloud infrastructure experience, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize) * Familiarity with Spark and ML pipelines * Hands-on experience with Databricks, Kinesis, Kafka * Leadership, coaching, and mentoring skills * Experience with observability tools like Datadog * Experience with Agile/Scrum development environments * Excellent communication and collaboration skills Key requirements * bonus and/or long-term incentive units * medical benefits * financial benefits * equal opportunity employer * fast-paced guest-focused environment


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