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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 lead the News ML team in Glendale, CA. The role focuses on shaping technical direction and delivering scalable end-to-end machine learning for real-time, personalized news experiences across web, mobile, and connected TV.

Role Responsibilities

Lead complex technical initiatives end-to-end, spanning technical design, production deployment, and operational excellence.
Design and build infrastructure for the full machine learning lifecycle, including data pipelines and workflow orchestration, data discovery and quality tooling, and feature libraries.
Deliver data and ML solutions across diverse engineering scenarios, including recommendation systems, object detection, autogenerated tagging solutions, and RAGs.
Collaborate with product, editorial, and engineering stakeholders to translate business requirements into durable technical implementations.
Set technical priorities and manage workstreams to focus on high-impact, time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks.
Promote engineering best practices across code quality, testing, CI/CD, observability, and incident response.
Mentor and coach engineers to strengthen ownership, collaboration, and continuous improvement.
Support technical documentation and facilitate 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 used to address practical engineering problems.
Comfort working 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 (Step Functions, Lambda, Glue, SQS, SNS, Personalize).
Experience building and deploying Spark and machine learning pipelines.
Hands-on big data experience with technologies such as Databricks, Kinesis, and Kafka.
Demonstrated leadership, coaching, and mentoring experience to help a team achieve business goals.
Experience with observability tools for metrics, logging, and monitoring such as Datadog.
Experience working in Agile/Scrum development environments.
Strong communication skills and a commitment to collaboration in a fast-paced, guest-focused environment.

Location and Employment Details

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

Technical Stack

AWS: Step Functions, Lambda, Glue, SQS, SNS, Personalize
Backend and ML Infrastructure: REST, Spark, Databricks
Data Streaming and Big Data: Kinesis, Kafka
Observability: Datadog

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