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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.
We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.
To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!
Your New Role...
With deep domain expertise, advanced technical capabilities, and a proven track record of successful collaborations, the AI Enablement C Machine Learning team at CNN is accelerating our digital transformation through strategic applications of machine learning and AI technologies. Our current products include popular, related and personalized content recommendations, contextual ad targeting, and site search-serving millions of CNN users via CNN web and mobile apps. Within the next quarter, we will be launching summarization and classification features with chat to follow early next year.
We have a variety of specializations and collaborate closely, enhancing our platform and adding to the suite of machine learning features running on it.
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Machine learning engineers (MLEs) build models and features
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Data engineers fulfill the availability and latency requirements provided by MLEs
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Some software engineers partner with MLEs to operationalize and expose models and features
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Other software engineers focus on our ML platform and tooling, including A/B testing
Here are some of the key challenges the team will tackle in next couple of quarters:
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Content Summaries: Support testing and adoption of various types of content summaries from multiple domains, which can be leveraged in consumer experiences along with embedding generation and classification
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Two-Tower Experimentation: Explore options for incorporating additional user context in our personalized recommendations model such as geolocation, time of day and time of year
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All Access Search: Partner with teams across CNN to design and build a roadmap for CNN streaming content search
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Bandit Foundation: Enhance data access and begin experimenting with bandits for online ranking of recommendations
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Optimize Site Performance: Dynamically deliver personalized content alongside cached assets, improving load times and enhancing user experience with features like page-level deduplication
Your Role Accountabilities...
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As a Software Engineer II, you will have many opportunities to collaborate with other engineers across the team
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Promote an inclusive and supportive engineering culture on the team
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Solve business problems with simple and straightforward solutions
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Strive for operational excellence--building highly available, low latency, and efficient software with support from other engineers
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Build subject matter expertise related to multiple production systems
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Communicate effectively—through progress updates, timely requests for support, demos, and technical documentation
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Author, test, review, and optimize production-quality code, following best practices for IaC, version control, and continuous delivery with support from other engineers
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Be passionate about software engineering with a strong sense of responsibility for the code you and your team write, delivering high-quality results that improve with each iteration
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Embrace failure as a learning opportunity—use research and experimentation to choose the best solutions that meet business goals, moving autonomously from proof-of-concept to production release
Qualifications & Experience...
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Related professional or industry experience
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Bachelor's degree in computer science or a related technical field
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Proficiency in Python and one or more of: Golang, Java, C++, or similar object- oriented languages
The Nice to Haves:
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Expertise in backend engineering with distributed systems and data-intensive applications at web scale
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Prior experience working on a machine learning team
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, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status 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.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $100,000.00 - $134,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
This position is open for an existing position vacancy.
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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
·
3d ago
The Warner Bros. Shareholder Vote? That's the Easy Part. - The Motley Fool
The Motley Fool
News
·
3d ago