Staff Machine Learning Engineer-Search & Personalization

Job Description

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 offerings
• Contribute on building machine learning systems and operations for personalization.
• Collaborate with applied data 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 Max expands to new markets around the globe
• Author, 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 customers
• Contribute technical documentation to support knowledge transfer and sharing
• Troubleshoot issues in recommendation systems as front-line support

What to Bring:
• 9+ years of industry experience
• 5+ years of experience contributing to machine learning driven, large-scale distributed systems with large scale customer base
• Good practical knowledge in modern machine learning lifecycle.
• Strong architectural and design skills
• 7+ years of programming experience in Python
• Ability to technically collaborate with partners
• Excellent written and verbal communications skills, be comfortable to contribute to technical documentation and on-call support
• Experience with one of the cloud platforms AWS/GCP/Azure
• Experience with Docker and Kubernetes.
• Good understanding of machine learning platform
• Experience with CI/CD tools like GitHub Actions, Jenkins etc.
• Familiarity with agile practices and processes

Preferred:
• Hands-on experience on machine learning platform
• Working experience with global teams
• Front-end development experience using frameworks like ReactJS
• Programming experience in Java/Go
• Data Modeling experience

What We Offer:
• A Great Place to work.
• Equal opportunity employer
• Fast track growth opportunities

Championing Inclusion at WBD
Warner 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.

Jobcode: Reference SBJ-dy6kqk-13-59-83-202-42 in your application.