Staff Machine Learning Engineer
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!
About the Team
With deep domain expertise, advanced technical capabilities, and a proven track record of
successful collaborations, the AI Enablement & 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.
• Machine learning engineers (MLEs) build models and features
• Data engineers fulfill the availability and latency requirements provided by MLEs
• Some software engineers partner with MLEs to operationalize and expose models
and features
• 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:
• 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.
• 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
• All Access Search: Partner with teams across CNN to design and build a roadmap
for CNN streaming content search.
• Bandit Foundation: Enhance data access and begin experimenting with bandits for
online ranking of recommendations
• Optimize Site Performance: Dynamically deliver personalized content alongside
cached assets, improving load times and enhancing user experience with features
like page-level deduplication
About the Job
As a Staff MLE, you will work across our team and collaborate with engineering leads on
other teams to drive technical excellence, facilitate growth and promote an inclusive and
supportive engineering culture.
• Design and deliver ML components within our services against product
requirements-explore data, identify gaps, and prepare it for machine learning
models
• Implement model training processes on a schedule in production with monitoring
and validation to assess model and system performance
• Take full ownership of problems with ML scope-devise solutions based on limited
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information, adapt existing approaches, and use judgment to select the right course
of action. Help others understand ML components within our larger systems and
products
• Design components and systems architecture, driving technical decisions that create
functional-level impact and deliver complex features in partnership with platform
engineers
• 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. Author, test, review, and optimize production-quality code, following
best practices including version control, and continuous delivery
• Communicate effectively across different audiences-whether through technical
documentation, code reviews, design reviews, or interactions with stakeholders and
adjacent teams
• Embrace failure as a learning opportunity-use research and experimentation to
choose the best solutions that meet company goals, moving autonomously from
proof-of-concept to production release
The Essentials
• Bachelor's Degree AND 5+ years of related experience or Master's Degree AND 3+
years of related experience, in Computer Science, Electrical or Computer
Engineering, or related field AND 3+ years related experience with machine
learning, artificial intelligence, statistics, predictive analytics, research)
• 5+ years of industry software engineering experience in one or more languages,
preferably with extensive python experience
• 3+ years experience developing and deploying AI/ML products or systems at
multiple stages in the product cycle from ideation and proof of concept to
deployment, monitoring, and iteration
The Nice to Haves
• Experience with NLP, information retrieval, or Recommendation Systems
• Understanding of experimentation frameworks and A/B testing methodologies
• Experience with data pipelines, feature stores, or embedding infrastructure
• Background in media, publishing, or content recommendation systems
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: $145,600.00 - $270,400.00 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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- FSA
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Adoption Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
- On-site/Nearby Childcare
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Company Outings
- Snacks
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
- Unlimited Paid Time Off
- Sabbatical
- Volunteer Time Off
- Summer Fridays
Financial and Retirement
- 401(K) With Company Matching
- Company Equity
- Stock Purchase Program
- Performance Bonus
- Relocation Assistance
- Financial Counseling
- 401(K)
- Profit Sharing
Professional Development
- Tuition Reimbursement
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Lunch and Learns
- Internship Program
- Work Visa Sponsorship
- Leadership Training Program
- Associate or Rotational Training Program
- Learning and Development Stipend
- Access to Online Courses
- Professional Coaching
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)