채용
필수 스킬
Machine Learning
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.
Senior Machine Learning Engineer
- 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:
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The role will focus on building out machine learning solutions for WBD’s content and Ad platform. Primary focus will be on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction and building foundational machine learning training and inference pipelines at scale.
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You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments.
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Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.)
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Build end to end ML pipelines to train, deploy and server ML models at scale.
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Leverage industry best practices and tools to continually improve teams' ability to build, operate and maintain products.
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Ensure that technical solutions are in line with established WBD Digital strategy, standards in respect to architecture, security, corporate governance, coding standards, monitoring, logging, unit test, and service enablement.
What to Bring:
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5-8 years of experience designing, building machine learning algorithms and systems.
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Proficiency in programming languages such as Java, Golang, Python or Scala.
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Good understanding of Distributed systems, design and architecture.
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Proficiency in operating machine learning solutions at scale, covering the end-to-end ML workflow.
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Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. good knowledge of ML tools and frameworks (Tensor Flow, Keras, py Torch, scikit-learn, Spark,...).
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Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring).
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Experience with offline experimentation and A/B testing.
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Understanding of batch and streaming data processing techniques.
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Knowledge of AWS or similar cloud platforms.
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PhD or Masters in Computer Science or related discipline.
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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Warner Bros. Discovery 소개

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+
직원 수
New York City
본사 위치
$20B
기업 가치
리뷰
3.8
3개 리뷰
워라밸
2.5
보상
2.0
문화
3.0
커리어
3.5
경영진
2.0
35%
친구에게 추천
장점
Good technical experience and projects
Strong performance recognition
Team connections and networking
단점
Poor work-life balance
Unreliable offer management
Limited career progression
연봉 정보
2개 데이터
L3
L4
L5
L3 · Data Scientist I
0개 리포트
$124,580
총 연봉
기본급
-
주식
-
보너스
-
$105,893
$143,267
면접 경험
9개 면접
난이도
2.1
/ 5
소요 기간
21-35주
합격률
22%
경험
긍정 33%
보통 67%
부정 0%
면접 과정
1
Application Review
2
Phone Screen
3
Technical Interview
4
Final Interview
5
Offer Decision
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
뉴스 & 버즈
Ross Gerber Rips $24 Billion Saudi-Funded Hollywood Push, Questions Paramount Skydance–Warner Bros. Discovery Megamerger - Yahoo Finance
Yahoo Finance
News
·
2d ago
CinemaCon’s elephant in the room: The Paramount–Warner Bros. Discovery merger - NBC News
NBC News
News
·
3d ago
Netflix was long 'a builder not a buyer.' Is that era over? - CNBC
CNBC
News
·
4d ago
The Warner Bros. Shareholder Vote? That's the Easy Part. - The Motley Fool
The Motley Fool
News
·
4d ago