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# Senior Machine Learning Engineer - News in Glendale

- **Company:** Energy Jobline
- **Location:** Glendale, CA, United States
- **Experience:** Expert
- **Salary:** $148,700.0 - $199,400.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Information Systems, Distributed Systems, Machine Learning, Azure Machine Learning, Datadog, Data Logging, Feature Engineering, Apache Spark, Deep Learning, Backend, Information Technology, Apache Kafka, Machine Learning Operations, Amazon Simple Queue Service (SQS), Data Pipelines, Databricks, Microservices
- **Published:** August 5, 2026
- **Apply:** https://www.energyjobline.com/job/senior-machine-learning-engineer-news-glendale-31329788

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
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 * 5+ years of experience building and operating ML engineering systems in production environments
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 * Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
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 * Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving
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 * Experience designing and developing backend microservices for large-scale distributed systems using REST
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 * Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
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 * Familiarity with developing and deploying Spark and ML pipelines
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 * Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
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 * Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals
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 * Experience with observability tools for metrics, logging, and monitoring such as Datadog
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 * Experience working in Agile/Scrum development environments
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 * Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment
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## Description

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 ., 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.


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