Senior Machine Learning Engineer
| Company | The Walt Disney Company |
|---|---|
| Location | Seattle, WA, USA, Santa Monica, CA, USA, San Francisco, CA, USA, New York, NY, USA |
| Salary | $138900 – $203900 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 5+ years experience driving business impact with data engineering
- Degree in Computer Science, Mathematics, or related field
- Expertise with common languages Python, SQL and a proven ability to learn new programming languages
- Expertise with Spark, Snowflake and related big data tools
- Experience deploying and optimizing machine learning flows, models, and frameworks (Scikit-Learn, Pytorch, Keras, OpenAI etc.) in AWS platforms at scale
- Experience working with data subject to privacy, governance and legal policies
Responsibilities
- Work together with data scientists to build and deploy models
- Leverage your in-depth knowledge of data science models to optimize them
- Develop the infrastructure required to build machine learning models at scale
- Build products/algorithms that will be used by millions of D+, E+ and Hulu subscribers
- Build and maintain self-service tools for Data Science
- Present your research and insights clearly and concisely to all levels of the company
- Collaborate across the org including Science, Engineering, Product and Operations
Preferred Qualifications
- 8+ years experience driving business impact with data engineering
- Experience with Scala, Java, Apache, Kafka, Hadoop, Redis or SQS
- Proficiency with Databricks and Snowflake in complex AWS environments
- Proficiency with DevOps and CI/CD using tech like Docker, Kubernetes, Jenkins and Github actions
- Experience with Agile environment
- Experience with data science feature marts
- Understanding of recent developments in LLMs, vector embeddings, and transformers
- Strong data analysis and visualizations skills to convey information and results clearly
- Experience applying math and statistical methods to data, including probabilistic thinking and programming
- Exceptional interpersonal and communication skills.
- Impactful presentation skills in front of a large and diverse audience.