Lead Machine Learning Engineer, Video

The Walt Disney Company

full-time

Posted on: 9/6/2025

Origin: • 🇺🇸 United States • California

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💰 $175,800 - $235,700 per year

Senior

AirflowAWSCloudDockerGoogle Cloud PlatformHadoopHDFSJavaScriptKafkaKubernetesPythonSpark

About the role

Lead research, development, deployment, and optimization of ML applications
Collaborate closely with cross-functional teams including Engineering, Product, Data, and Editorial
Directly support strategic initiatives and help shape roadmap for algorithmic innovation
Enable ML use across heterogeneous environments at every stage of project lifecycle (exploration to production)
Partner with engineering and service teams to drive infrastructure innovation for scalable learning, inference, and monitoring
Provide ML consultancy and mentorship to teams
Conduct in-depth data exploration and analysis
Drive data and ML driven solutions for use cases such as recommendation systems, object detection, anomaly detection, RAGs and translations
Architect and build end-to-end ML models and pipelines to drive data-driven decisions
Identify opportunities to improve business operations and develop solutions to lift business KPIs
Provide technical leadership to a team of engineers and collaborate with peers to achieve goals within deadlines

BS in computer science, statistics, math or a related quantitative field + 7 years of relevant SWE and MLEng experience
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, feature engineering, batch training and low-latency online serving
Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, and container systems such as Docker or Kubernetes
Track record of building scalable ML applications, from design to full production
Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
Excellent written and oral communication skills
Preferred: Hands-on experience building models for video processing (such as clipping, cropping, understanding, search, …)
Preferred: Familiarity with developing and deploying Spark and ML pipelines
Preferred: Hands on experience with big data technologies such as Hadoop, HDFS, Airflow, Databricks, Kinesis, Kafka
Ability to drive and maintain a culture of quality, innovation and experimentation
Ability to mentor colleagues on best practices and technical concepts of building large scale solutions