Staff Machine Learning Engineer-Search Personalization Bangalore
Staff Machine Learning Engineer-Search Personalization Bangalore
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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 were not just referring to the world of wizards dragons and superheroes or even to the wonders of Planet Earth. Behind WBDs 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 whats 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 Bangalore India.
About Warner Bros. Discovery:
Warner Bros. Discovery a premier global media and entertainment company offers audiences the worlds most differentiated and complete portfolio of content brands and franchises across television film streaming and gaming. The new company combines Warner Medias premium entertainment sports and news assets with Discoverys leading nonfiction and international entertainment and sports businesses.
For more information please visit .
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 fastmoving 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 stateoftheart 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 costoptimization 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 productionlevel 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 datadriven 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 frontline support
What to Bring:
9 years of industry experience
5 years of experience contributing to machine learning driven largescale 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 oncall 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:
Handson experience on machine learning platform
Working experience with global teams
Frontend 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
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 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 youre 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.
Required Experience:
Staff IC
Employment Type
Full-Time
