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Associate Data Engineer- Machine Learning

Company

Disney
Address , Seattle
Employment type
Salary $89,298 - $119,790 a year
Expires 2023-12-14
Posted at 9 months ago
Job Description

Associate Data Engineer- Machine Learning

Job ID
10058063
Location
Seattle, Washington, United States
Business
The Walt Disney Company (Corporate)
Date posted
Aug. 16, 2023

Job Summary:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.


The Enterprise Technology mission at Disney is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross- company collaborative innovation. We drive Disney's competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence!


You will be part of the Cloud & Data Transformation Engineering organization, that provides next-level cloud and data services to unleash digital magic for Disney. We use modern technologies, design patterns, culture, and organizational alignment to enable teams to seamlessly ship content, products, and magical experiences better, faster, safer, and happier.


The vision of the Data Engineering team at CDTE is to drive and enable business decisions by providing timely, trusted and accurate insights to our internal and external customers. Team is responsible for building data pipelines, curating, and publishing data products for consumption. The team is taking up the charter to increase ML adoption across the group by identifying and solving forecast, optimization, classification, and recommendation problems. The ML team’s output will include- data exploration, hypothesis development, preparing training/test data, increasing data quality, design and run experiments, model development/selection communicating results, and robust production deployment. In this role you will partner with business, software, analysts and cross-functional engineering groups to lead and drive data informed business decisions. Be part of the team which charters the course for the future!!!

  • Work closely with Business, Product and Data teams to define problem statements.
  • Build, deploy and maintain learning models.
  • Statistically analyze model performance and fine-tune.
  • Designing and developing machine learning systems and algorithms.
  • Staying updated with the latest developments in the field and bring in best-in-class concepts, techniques and approaches.
  • Implementing appropriate ML algorithms.
  • Run machine learning tests and experiments.

  • Strong programming skills in Python, Java, or R.
  • 1+ years of experience in machine learning and related space.
  • Bachelor’s degree in Computer Science or related field.
  • Deep understanding of standard algorithms across all 4 approaches to ML(Supervised, Unsupervised, Deep Learning, Reinforcement Learning).
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Experience with data analysis tools such as Pandas or NumPy.
  • Use Databricks/Jupyter notebooks for data analysis.

  • Masters degree or PhD in Computer Science or a related technical field
  • Exposure to architectural patterns of large scale software applications

The hiring range for this position in Seattle, WA is $89,298 to $119,790 per year. The base pay actually offer 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.