Machine Learning Engineer II

Warner Bros. Discovery; San Francisco (CA); On-site; USD 120,000 - 200,000; Full time

Job summary

Warner Bros. Discovery is seeking a passionate Machine Learning Engineer to support and scale the personalization and search platforms for HBO Max and related streaming initiatives.

You will work in a fast-paced environment focused on engineering excellence, experimentation, and data-driven decision making, serving 100+ million users globally with a team of ML engineers and researchers.

Qualifications

• 2+ years of industry experience in ML or applied data science.
• Direct experience with large-scale recommender systems is ideal.
• Strong programming skills in Python and SQL.

Responsibilities

• Contribute to building and scaling a recommendation system for HBO Max and other WBD apps.
• Develop ML systems and ops for personalization.
• Collaborate with applied science engineers to improve quality and stability of search and personalization platforms.
• Drive observability, scalability, cost-optimization, and performance tuning of recommendations services.
• Collaborate with platform, content, user data and product partners as HBO Max expands to new markets.

Skills

Python

ML lifecycle

Recommender systems

AB testing

SQL

Communication

Big data

Education

MS in CS/Statistics or related

Tools

Git

Docker

Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.

Who We Are...

When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

About You:

We are looking for a passionate Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app HBO Max as well as ongoing and future streaming initiatives. You are excited about working in a fast-moving environment that fosters engineering and operational excellence with continuous development, deployment, experimentation, quality assurance, and collaboration. You will bring an obsession with our customers along with skills for rapid feature iteration. In your role, you will be working in a team of passionate machine engineers and applied researchers contributing to a system that serves 100+ million users worldwide.

Responsibilities:

• Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across HBO Max , Discovery+ and other WBD offerings
• Contribute on building machine learning systems and operations for personalization.
• Collaborate with applied science engineers to improve quality, stability, resilience of search and personalization platforms
• Drive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and models
• Collaborate with platform, content, user data and product partners as HBO Max expands to new markets around the globe
• Author, test, review, and optimize production-level code while executing best practices in version control and code integration.
• Motivate, inspire and create a culture of experimentation and data-driven innovation while constantly striving to be an advocate for doing what is right for our customers
• Contribute technical documentation to support knowledge transfer and sharing
• Troubleshoot issues in recommendation systems as front-line support

Requirements:

• 2 + years of industry experience
• Deep practical knowledge of modern machine learning lifecycle.
• Practical knowledge of large-scale recommender systems, or large-scale ML ranking/retrieval/search systems and familiarity with A/B Tests.
• E xperience building large-scale ML systems in production
• Strong programming skills in Python (Java/Go a plus)
• Solid understanding of data fundamentals (SQL, pipelines, feature stores)
• Excellent communication skills and ability to work cross-functionally
• Advanced degree (M.S.), or equivalent industry experience in statistics, computer science, machine learning or related fields

How We Get Things Done...

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, militar