Disney Entertainment and ESPN Product & Technology is looking to advance the technological backbone for Disney's media business globally by designing and building products and platforms that will power their media, advertising, and distribution businesses for years to come. This role will contribute to shaping the roadmap for algorithmic innovation and enabling the use of machine learning across heterogeneous environments.
Requirements
- 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 designing and developing backend microservices for large-scale distributed systems using gRPC or REST
- 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 systems, from design to full production
- Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
- Familiarity with developing and deploying Spark and ML pipelines
Responsibilities
- Drive infrastructure innovation for scalable learning, inference, and monitoring
- Provide ML consultancy and mentorship
- Conduct in-depth data exploration and analysis
- Design and develop infrastructure supporting the full cycle of machine learning, including workflow orchestration and management interfaces, data discovery tools, data quality and feature libraries.
- Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, anomaly detection, RAGs and translations
- Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPIs
- Provide technical leadership to a team of engineers and work collaboratively with peers to achieve goals within deadlines.
Other
- BS in computer science, statistics, math or a related quantitative field + 7 years of relevant SWE and MLEng experience
- Excellent written and oral communication skills
- Drive and maintain a culture of quality, innovation and experimentation
- Mentor colleagues on best practices and technical concepts of building large scale solutions.
