Senior Machine Learning Engineer

Warner Bros. Discovery

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$165,200–$306,800 / yr
Posted
7 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k
This role $236k
$148k most similar roles pay here $324k

This role pays more than 58% of similar roles. Most pay $187,875–$250,259 — the shaded band above. At the midpoint, this role pays about $236k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 62 open roles on FindRole.

Listed pay typically runs $131,950–$245,050 across 44 roles with salary data.

Most-posted roles

View all roles at Warner Bros. Discovery

At a glance

TL;DR · Senior Machine Learning Engineer

Join HBO Max as a Staff Data Scientist and contribute to developing machine learning solutions for consumer growth initiatives such as fraud detection, pricing optimization, and user behavior modeling. This role involves building end-to-end ML pipelines from data processing to model deployment in production environments, collaborating with product, engineering, and business stakeholders to deliver effective solutions. You will mentor junior scientists, stay current with the latest research trends, and advance the company’s research agenda through thought leadership. The ideal candidate holds a PhD or MS in Machine Learning or Data Science and has 3+ years of hands-on experience (PhD) or 5+ years (MS). Proficiency in Python, ML frameworks like PyTorch and TensorFlow, SQL, and large-scale data processing is essential, along with the ability to deploy models to production. Preferred qualifications include experience in consumer-facing applications, familiarity with distributed computing systems, and contributions to open-source projects.

What you'll do

  • Develop and deploy machine learning solutions for consumer growth applications.
  • Build complete ML pipelines from data processing to model deployment in production.
  • Design and implement machine learning models using classical algorithms and deep learning.
  • Mentor junior data scientists and contribute to team knowledge sharing.
  • Stay current with ML research and explore new methodologies for business challenges.

What we're looking for

  • PhD/MS in Machine Learning, Data Science, or related field required
  • 3+ years (PhD) or 5+ years (MS) of hands-on machine learning experience
  • Proficient in Python and ML frameworks like PyTorch, TensorFlow, Scikit-learn
  • Experience deploying ML models to production environments
  • Strong communication skills for diverse stakeholders
  • Familiarity with large-scale data processing and SQL
  • Mentorship and collaboration across product, engineering, and business teams

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