Senior Machine Learning Engineer Job at Warner Media, LLC in Culver City

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.

Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format. Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered. It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages. HBO Max originally launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021. It rolled out globally across Latin America and the Caribbean in 2021, followed by its first European launches in the Nordics and Spain later that year. In May 2023, Warner Bros. Discovery introduced Max, an enhanced streaming platform, in the U.S. HBO Max is currently available in 46 countries and there are plans for the continued global expansion of Max in 2024.

Senior MLE, Personalization, Content Discovery

Every great story has a new beginning.

Warner Bros. Discovery is a premier global media and entertainment company offering audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming. Our mission is simple. To be the world's best storytellers with world-class products for consumers. From brilliant creatives to technology trailblazers and beyond, join us as we step into the next chapter.

Warner Bros. Discovery's DTC technology and product organization sits at the intersection of tech, entertainment, and everyday utility. We are continuously leveraging new technology to build immersive and interactive viewing experiences. Our platform covers everything from search, content catalog, video transcoding, to personalization, global subscriptions, and more. We are committed to delivering unique and quality user experiences, ranging from video streaming to applications across connected TV, mobile, web and consoles. As a pure tech organization, we are essential to Warner Bros. Discovery’s continued growth, building world-class streaming products from the ground-up for our iconic brands like HBO Max, Discovery Channel, CNN, Food Network, HGTV, Eurosport, MotorTrend , and many more.

About You :

We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization models and algorithms for our new global streaming app, Max, as well as any future DTC streaming apps. You are excited about working in an environment that fosters innovation via prototyping, development, experimentation, and productionization . You will bring the right balance between rapid feature iteration and building a common set of platforms and tools to move quickly in the future. In your role, you will be working alongside a team of passionate machine learning engineers and applied Machine Learning researchers to build and contribute to architecting a system that serves millions of users worldwide.

Responsibilities :

Architect, build and scale a recommendation system that powers the state-of-the-art personalization experience to users across Max, HBO, Discovery+ and other WBD offerings

Collaborate with ML / Ops engineers to develop and improve core components, infrastructure and architecture to train, deploy and serve models at scale

Collaborate with other data scientists, engineers, product teams and other key stakeholders and drive ML projects from conception to completion

Author, test, review, and optimize production-level code in Python, Go and Java while executing best practices in version control and code integration

Use and build upon open-source cloud computing technologies

Participate and support engineering leaders in strategic planning and demonstrate good judgment in setting and delivering against strategic goals for the team

Mentor, influence engineers across organizations and lead by example with high quality examples of your work at the organization level

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

Requirements :

4+ years of industry experience in Machine Learning, with 3+ years leading organization wide projects with multiple stakeholders.

Deep practical knowledge of modern machine learning lifecycle.

Deep practical knowledge of large-scale recommender systems, or large-scale ML ranking / retrieval / targeting systems and familiarity with A / B Tests and hypothesis testing is preferred

Experience with design, implementation, and performance tuning of ML models.

4+ years of programming experience in at least one of the following : Python / Java / Go with ability to rapidly prototype ideas and refine towards production.

Deep practical knowledge of large-scale recommender models and systems , or large-scale ML ranking / retrieval / targeting systems .

Experience with one of the cloud platforms AWS / GCP / Azure

Good practical knowledge of SQL and relational databases .

Experience with CI / CD tools like GitHub Actions, Jenkins, etc.

Excellent written and verbal communications skills, be comfortable presenting to large audiences .

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, 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 : $132,300.00 - $245,700.00 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.

#J-18808-Ljbffr