Machine Learning Engineer II – GH Full-time

Job Posting Title:
Machine Learning Engineer II – GH

Req ID:
10101578

Job Description:

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming our media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working here:

• Building the future of Disney’s media: DE&E Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

WHAT YOU’LL DO

• Understanding business objectives and developing models that help to identify and prevent credential stuffing, ATO (account takeover) and other fraud behaviors, along with metrics to track the progress.
• Exploring and visualizing data to gain an understanding of the problems, then identifying differences in data distribution and selecting the suitable ML algorithms.
• Apply machine learning, statistics or data mining to help to be efficient in every aspects of identity security
• Develop scalable and efficient methods for large scale data analysis and model development.
• Defining data augmentation pipelines, training models and tuning their hyperparameters, deploying models to production, monitoring & evaluating the performance of ML models.
• Collaborate with developers, program managers, and product managers in an open, creative environment

WHAT TO BRING

• Bachelors in computer science, EE or other quantitative discipline and minimum 3 years of experience OR
• MS, or PHD degree in computer science, EE or other quantitative and minimum 1 year of experience
• Experience in large scale machine learning, user behavior analysis, fraud detection in leading internet companies.
• Proficiency with machine learning libraries of scikit-learn, pandas and machine learning frameworks of TensorFlow/Keras or PyTorch.
• Expertise in visualizing and manipulating big datasets.
• Familiarity with Python, Java/Scala.
• Experience in security domain is highly preferred.
• Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
• Excellent written and oral communication skills.

The hiring range for this position in Glendale and Santa Monica, California is $112,600 – $151,000 per year, and in Seattle, Washington and New York City is $118,000 – $158,200 per year. 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:
Product & Data Engineering

Job Posting Primary Business:
PDE – Engagement Experiences & Platforms

Primary Job Posting Category:
Machine Learning

Employment Type:
Full time

Primary City, State, Region, Postal Code:
New York, NY, USA

Alternate City, State, Region, Postal Code:
USA – CA – 1200 Grand Central Ave, USA – CA – 2450 Broadway, USA – WA – 925 4th Ave

Date Posted:
2024-09-17