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5128 WABC Television (New York), LLC

5128 WABC Television (New York), LLC is hiring: Lead Machine Learning Engineer -

5128 WABC Television (New York), LLC, Los Angeles, CA, United States, 90079

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remote type Primarily On-Site / Occasionally from Home

locations Santa Monica, CA, USA Seattle, WA, USA San Francisco, CA, USA Glendale, CA, USA New York, NY, USA

time type Full time

posted on Posted 17 Days Ago

time left to apply End Date: September 30, 2025 (30+ days left to apply)

job requisition id 10115753

Job Posting Title:

Lead Machine Learning Engineer - (Python & Javascript)

Job Posting Title:

Lead Machine Learning Engineer - (Python & Javascript)

Req ID:

10115753

Job Description:

Lead Machine Learning Engineer- (Python & Javascript)

On any given day at Disney Entertainment and ESPN Product & Technology (DEEP&T), 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: DEEP&T 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 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 .

The Commerce, Data & Identity (CDI) organization is dedicated to three business-critical areas at Disney that will help transform its media business. We build innovative and cutting-edge capabilities to drive subscriptions, engagement, and monetization across Disney's streaming and digital products. We enable the wide range of Disney brands to connect and engage with consumers through a unified identity, powered by shared services that are trustworthy and seamless to integrate with.

The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Data and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are fast -paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney! Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member on the Web CDI team you’ll build the core sign-up, purchase, and subscription management experiences of our Web platform.

You will serve as a high level technical resource and “go-to” person, solving sophisticated technical challenges and finding opportunities to improve systems, products, and services!

What You Will Do

  • Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.

  • Improve developer efficiency by using development data to improve workflows and code quality.

  • Develop scalable and efficient methods for large scale data analysis and model development.

  • Build and experiment on brand new algorithms and models end-to-end through production rollout and continuous optimization.

  • Partner with product teams to define product strategies and drive direction.

  • Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.

  • Mentor team members on machine learning, prompt engineering, and data analysis.

Required Qualifications & Skills

  • 7+ years of experience in a technical field

  • Understanding on ML/AI technologies and how to implement them to drive business impact.

  • Proficient with Python and Javascript .

Preferred Qualifications & Skills

  • MS or higher degree in computer science or related field

  • 4+ years of working experience on machine learning and artificial intelligence at leading internet companies.

  • Knowledge of or experience with industry tools like PyTorch , Tensorflow , LangChain , and LlamaIndex .

  • Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.

Education

  • Bachelor’s in Computer Science (or related field) and/or equivalent work experience required

The hiring range for this position in Santa Monica, CA is $167,700 to $224,900 per year, in New York, NY and Seattle, WA is $175,800 to $235,700 per year, and in San Francisco, CA is $183,700 to $246,400 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:

Commerce, Data & Identity

Job Posting Primary Business:

CGI - Client Engineering

Primary Job Posting Category:

Machine Learning

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave, USA - CA - Market St, USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave

Date Posted:

2025-03-27

remote type Primarily On-Site / Occasionally from Home

locations 5 Locations

time type Full time

posted on Posted 30+ Days Ago

time left to apply End Date: November 30, 2025 (30+ days left to apply)

remote type Primarily On-Site / Occasionally from Home

locations 3 Locations

time type Full time

posted on Posted 4 Days Ago

time left to apply End Date: August 10, 2025 (5 days left to apply)

remote type Primarily On-Site / Occasionally from Home

locations 4 Locations

time type Full time

posted on Posted 30+ Days Ago

time left to apply End Date: December 6, 2025 (30+ days left to apply)

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