Sr Machine Learning Engineer

Team’s Vision

The Machine Learning (ML) Engineering team at Disney drives and enables ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation of the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments.

Role

In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale.

Responsibilities:

• Work in an Agile environment that focuses on collaboration and teamwork
• Drive and maintain a culture of quality, innovation and experimentation
• Implement backend microservices for large scale distributed systems using gRPC or REST.
• Design and develop infrastructure for the full cycle of machine learning such as workflow management, feature store, data discovery tools, and feature libraries.
• Lead and drive vision for one or more of ML Platform services

Basic Qualifications:

• Experienced with cloud technologies in AWS or GCP and container systems such as Docker or Kubernetes
• Excellent communication and people engagement skills
• 5+ years of software experience, with 3+ years of relevant ML experience
• Expertise in OO programming, either Python or Java
• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• Passion for turning ideas into products and improving the member experience

Preferred Qualifications:

• Experience with graph-based data workflows such as Apache Airflow, Meson
• Mentor colleagues on best practices and technical concepts of building large scale solutions
• Familiarity with Java or Python development ecosystem
• Knowledge of technologies like Databricks, S3, Spark