Overview: The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable 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 on 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 maximize the positive business impact of all ML at Disney streaming by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on.
We're looking for an engineering leader interested in leading the Model Engineering team (part of ML Platform) that builds interfaces, tooling and services to develop and deploy ML models, host and manage them in a high-availability and low-latency production ecosystem. The leader will drive the technical strategy, partner with platform partners and stakeholders, seek feedback, and focus on continuous development and improvement of the ML runtime, and simplified user onboarding.
Responsibilities:
Lead and grow a team to build state of the art ML runtime environment
Provide technical direction for the Model Engineering team
Partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment
Mentor and facilitate individual careers by optimizing for their success and growth
Maintain a culture of innovation, quality, transparency, inclusion, and empathy
Work in an Agile environment that focuses on collaboration and teamwork
Basic Qualifications: 10+ years of software experience working in large scale, real-time distributed systems
3+ years of leadership experience
Experience building and deploying ML models in production
Experience with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes
Passion for building platforms and infrastructure excellence
Excellent communication and people engagement skills
Preferred Qualifications: Familiarity with ML pipelines, data ecosystem and AWS technologies
Building ML infrastructure, streaming ML applications
Experience shipping entertainment and media applications for streaming purposes
Required Education: Bachelor's degree in Computer Science (or related field) and/or equivalent work experience
The hiring range for this position is $197,866 to $228,800 per year, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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