Machine Learning Engineer II
Warner Bros. · CA San Francisco 153 Kearny Street ·
- Category
- ML ai
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.
At HBO Max, storytelling takes center stage. We’re one of the world’s most iconic entertainment brands — home to bold originals and unforgettable characters. While audiences binge award-winning content, breaking news, and sports around the clock, our teams stay busy at work creating what’s next in streaming. From Succession, Euphoria, and The Sopranos to global franchises like Game of Thrones and Harry Potter, our content sparks conversation and shapes culture.
HBO Max delivers boundary-pushing stories across genres and platforms, connecting millions of viewers across 90 countries globally— and we’re just getting started. We're home to the most talked about shows and movies, granting audiences access to the worlds of HBO, Harry Potter, DC, Warner Bros., ID, Adult Swim, A24, and more. Turn your streaming obsession into a career— we’re hiring!
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.
Experience 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 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, military status, protected veteran status or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $135,310.00 - $251,290.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.