Senior Machine Learning Engineer @ The Walt Disney Company

Job Posting Title:

Senior Machine Learning Engineer

Req ID:

10112778

Job Description:

About Direct To Consumer

Disney’s Direct to Consumer group seeks a talented and creative data engineer/scientist. In order to build and deploy Data Science models at the scale and velocity required for Personalization, Forecasting, Marketing, Content/User Segmentation, and other services at the user and session level at various timescales, our Data Scientists work with ML Engineers to build data ingestion pipelines and robust prediction modeling infrastructure. This is a high impact role where your work informs decisions affecting millions of consumers, with a direct tie to The Walt Disney Company’s revenue. It spans a broad range of subject areas, including analyzing fan engagement and marketing, personalization, predicting future consumer behavior, and optimizing content. We are a tight data-driven team with big goals seeking people who solve the toughest challenges at scale, using and building distributed systems in a fast-paced collaborative team environment.

In this position, you will:

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

Basic Qualifications

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

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
Exerience with Agile environment
Experience with data science feature marts
Understanding of recent developments in LLMs, vector embeddings, and transformers
Strong data anaysis 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.

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year. The hiring range in Seattle, WA and New York City, NY is $145,400 - $195,000, and the range in San Francisco, CA is $152,100 - 203,900. 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.

Job Posting Segment:

Direct to Consumer

Job Posting Primary Business:

DTC Analytics and Data Science

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Seattle, WA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 2500 Broadway Street, USA - CA - Market St, USA - NY - 7 Hudson Square

Date Posted:

2025-02-12