招聘

Staff Software Engineer - Java Fullsatck - ML Team
Bangalore, Global Tech Park Tower C 5th F
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On-site
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Full-time
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4d ago
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 Software Engineer – MLE Team, Bangalore
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.
Meet Our Team:
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.
Roles & Responsibilities
We’re looking for a Staff Software Engineer for our MLOps Platform to join the AI/ML organization, focusing on supporting applications of AI to videos. The team is in charge of generating closed captions, translations to generate subtitles and other capabilities that are required to make WBD content truly global. In this role, you will help build a robust, scalable platform that enables the training, deployment, and observability of machine learning models for video understanding, and classifications. You will drive platform architecture, lead critical components, and work across teams to establish engineering excellence in the ML infrastructure layer.
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Design and lead the development of core components of the machine learning platform with a focus on scalability, reliability, and cloud-agnostic principles
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Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, and observability
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Collaborate with content protection and security teams to ensure robust access controls and compliance
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Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code (IaC) principles
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Champion engineering excellence through well-tested code, clear documentation, and continuous improvement of development and deployment practices.
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Establish and enforce best practices in testing, code quality, and monitoring for ML pipeline components
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Work closely with AI engineers and product managers to support evolving use cases like scene segmentation, video annotation, clip generation, and metadata enrichment
What to Bring
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9-12 years of software engineering experience building scalable backend systems
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Deep experience with cloud platforms (AWS, GCP); ability to design for cloud-agnostic deployment
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Experience working with production deployment of machine learning systems
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Proficiency in Python/Java/Go and experience in JS framework, with strong software design and architecture skills
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Proven experience implementing and managing CI/CD workflows.
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Familiarity with Agile development practices and a strong operational mindset
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Experience in building and maintaining observability stacks (e.g., Prometheus, Grafana, Open Telemetry)
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Experience collaborating in a cross-functional team and setting engineering standards at scale
What We Offer:
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A Great Place to work.
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Equal opportunity employer
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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 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, 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.
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About Warner Bros. Discovery

Warner Bros. Discovery
PublicWarner Bros. Discovery, Inc. (WBD) is an American multinational mass media and entertainment conglomerate headquartered in New York City. It was formed from WarnerMedia's spin-off by AT&T and merger with Discovery, Inc. on April 8, 2022.
10,001+
Employees
New York City
Headquarters
Reviews
3.8
3 reviews
Work Life Balance
2.5
Compensation
2.0
Culture
3.0
Career
3.5
Management
2.0
35%
Recommend to a Friend
Pros
Good technical experience and projects
Strong performance recognition
Team connections and networking
Cons
Poor work-life balance
Unreliable offer management
Limited career progression
Salary Ranges
2 data points
L3
L4
L5
L3 · Data Scientist I
0 reports
$124,580
total / year
Base
-
Stock
-
Bonus
-
$105,893
$143,267
Interview Experience
9 interviews
Difficulty
2.1
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Interview
4
Final Interview
5
Offer Decision
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
News & Buzz
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Source: CNN
News
·
5w ago



