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Lead Machine Learning Engineer - News

Disney Entertainment & Sports LLC Glendale, CA

Glendale, CA

Today

$142k - $190k/yr Full time Ai Ml Artificial Intelligence Aws Data Engineering

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Job Description

Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to strengthen the News ML team in Glendale, CA. This onsite role focuses on shaping the technical direction and delivering scalable, end-to-end machine learning systems that support personalized real-time news experiences across web, mobile, and connected TV platforms.

In this position, you will take ownership of complex technical initiatives from technical design through production deployment, with an emphasis on operational excellence. You will build the infrastructure and workflows that power the full machine learning lifecycle, while partnering closely with product, editorial, and engineering stakeholders to translate business needs into reliable technical solutions.

What You’ll Do

Lead complex technical initiatives end-to-end, covering technical design, production deployment, and operational excellence
Design and develop machine learning infrastructure, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries
Deliver data and ML-driven solutions across engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, and RAGs
Collaborate with product, editorial, and engineering stakeholders to convert business requirements into robust technical implementations
Set priorities across initiatives and technical workstreams to achieve high-impact, time-sensitive outcomes while identifying, communicating, and mitigating risks
Promote engineering best practices across code quality, testing, CI/CD, observability, and incident response
Mentor and coach engineers to support ownership, collaboration, and continuous improvement
Contribute to technical documentation and support knowledge sharing across teams

Required Qualifications

Bachelor’s degree in computer science, Information Systems, Statistics, Math, or a comparable field of study, and/or equivalent work experience
7+ years of software engineering experience
5+ years of hands-on experience developing and deploying machine learning systems in production
Expertise in data science, deep learning algorithms, or statistical methods for real-world engineering problems
Comfort across 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
Cloud infrastructure experience, preferably AWS, including Step Functions, Lambda, Glue, SQS, SNS, and Personalize
Familiarity with developing and deploying Spark and ML pipelines
Hands-on experience with big data technologies such as Databricks, Kinesis, and Kafka
Proven leadership, coaching, and mentoring skills with the ability to inspire and empower a team toward 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

Role Details

Location: Glendale, CA (onsite)
Compensation: USD 141,900 - 190,300 per year
Experience level: 7+ years

Technology Stack

AWS, Step Functions, Lambda, Glue, SQS, SNS, Personalize
REST, Spark, Databricks
Kinesis, Kafka
Datadog

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