Senior Machine Learning Engineer
The vision of the Machine Learning (ML) Engineering team at Disney Streaming 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 find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments.
In this role, you will focus on partnering with software services and engineering groups to advocate and support ML applications in those domains. Such domains include Fraud, API Services, CDN routing, Edge access, etc. You will conduct data exploration, analysis to motivate and drive ML usage across the engineering and services teams, and provide ML consultancy. You will work on cross-functional products and push the envelope on data and ML focused solutions.
Responsibilities:
Collaborate with diverse engineering teams to advocate and support ML usage in their domains
Develop and deploy end to end ML workflows to drive data driven decisions
Conduct data exploration, analysis and provide ML consultancy
Drive and maintain a culture of quality, innovation and experimentation
Work in an Agile environment that focuses on collaboration and teamwork
Basic Qualifications:
5+ years of software experience, with 3+ years of relevant ML experience
Bachelor's degree in Computer science (or related field) or equivalent work experience
Expertise with ML pipelines, algorithms, statistical methods, and analytics to solve real-world engineering problems
Experience building and deploying ML models in a production environment
Comfortable operating at all levels of the predictive stack and user behavior modeling including data collection, feature engineering, batch low-latency online serving
Strong mathematical skills with knowledge of statistical methods
Preferred Qualifications:
Familiarity with Python development ecosystem and technologies like Databricks, S3, Spark
Experience with graph-based data workflows such as Apache Airflow, Meson
Excellent communication and people engagement skills
Willingness to drive and maintain a culture of quality, innovation and experimentation
Experience in mentoring colleagues on best practices and technical concepts of building large scale solutions
Additional Information:
Location: San Francisco, CA, New York, NY or Seattle, WA preferred but also open to US Remote for the right candidate
The pay range for this position in Colorado is $117,752 to $157,960 per year, however, base pay offered may vary depending on geographic region, internal equity, 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 a full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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