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.Staff MLE, Search & Personalization- Hyderabad, India.About Warner Bros. Discovery:Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit www.wbd.com.Roles & Responsibilities: We are looking for a passionate Staff Machine Learning engineer to support, build and scale the personalization and search platforms for the global streaming app 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.Contribute to building and scaling a recommendation system that powers a state-of-the-art personalization experience to users across Max, Discovery+ and other WBD offeringsContribute on building machine learning systems and operations for personalization.Collaborate with applied data science engineers to improve quality, stability, resilience of search and personalization platformsDrive observability, scalability, cost-optimization, and performance tuning and other improvements to recommendations services and modelsCollaborate with platform, content, user data and product partners as Max expands to new markets around the globeAuthor, test, review, and optimize production-level code in Java, Go and Python 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 customersContribute technical documentation to support knowledge transfer and sharingTroubleshoot issues in recommendation systems as front-line supportWhat to Bring:9+ years of industry experience5+ years of experience contributing to machine learning driven, large-scale distributed systems with large scale customer baseGood practical knowledge in modern machine learning lifecycle.Strong architectural and design skills7+ years of programming experience in PythonAbility to technically collaborate with partnersExcellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call supportExperience with one of the cloud platforms AWS/GCP/AzureExperience with Docker and Kubernetes.Good understanding of machine learning platformExperience with CI/CD tools like GitHub Actions, Jenkins etc.Familiarity with agile practices and processesPreferred:Hands-on experience on machine learning platformWorking experience with global teamsFront-end development experience using frameworks like ReactJSProgramming experience in Java/GoData Modeling experienceWhat We Offer:A Great Place to work.Equal opportunity employerFast track growth opportunitiesHow 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 WBDWarner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability 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.
