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Urgent! Manager, Machine Learning Engineering Job Opening In Manhattan – Now Hiring Warner Bros Discovery

Manager, Machine Learning Engineering



Job description

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 bringing our characters to life, the bringing them to your living rooms and the 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.

Max is where storytelling takes center stage and where creatives find a home with the support and resources to do their best work, no matter the genre or format.

Whatever the viewer wants to watch is front and center and more of what they crave is easily discovered.

It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages.

HBO Max originally launched in the United States in May 2020 and introduced a lower priced, advertising-supported tier in June 2021.

It rolled out globally across Latin America and the Caribbean in 2021, followed by its first European launches in the Nordics and Spain later that year.

In May 2023, Warner Bros.

Discovery introduced Max, an enhanced streaming platform, in the U.S. HBO Max is currently available in 46 countries and there are plans for the continued global expansion of Max in 2024.

Manager MLE, Search and Personalization Team:
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.
Roles & Responsibilities:
We are looking for a passionate Manager 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 fast-
moving 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.
 Architect and develop robust engineering solutions that utilize
machine learning models and algorithms to support
personalization's.
Manage project priorities and ensure timely delivery.
Build and lead a world-class team of machine learning and full stack
engineers.
Be a hands-on leader and mentor the team in the latest machine
learning technologies and processes.
Partner closely with business and data science leadership for
opportunity sizing and prioritizing product capabilities.
Partner closely with platform and infra teams to build robust fault
tolerant solutions and accelerate the learning cycle.Partner closely with downstream application teams to develop a
flexible and resilient interface between ML products and downstream
applications.
Partner closely with the ML Platform team to build flexible and
resilient interfaces for training, serving and feature needs for
personalization products.
Develop ML Systems roadmap in partnership with Data Science
teams, and educate both internal and external stakeholders at all
levels to drive resourcing and implementation.
Develop and evangelize engineering best practices for scoping,
building, validating, deploying, and monitoring ML/AI products.
Qualifications & Experience...
Technical education in Computer Science, Information Science,
Engineering, or equivalent experience (Masters degree or higher
preferred).
8+ years of work experience in developing engineering solutions for
Machine Learning and Data Science applications with a proven track
record to drive innovation and business impacts.
2+ years leading and growing high performance engineering teams.
Familiarity with the practical aspects of machine learning is required.
Familiarity with the practical aspects of machine learning is required.
Proficient in both Python and OOP languages including GoLang,
Java or C++.
Experience with Agile methodologies preferred.
Experience in deploying complex and large scale machine learning
algorithms and advanced modeling solutions.
Self-starter and self-motivated with the proven ability to deliver
results in a fast-paced, high-energy environment.
Strong communication skills and the ability to explain complex
engineering systems to non-technical audience.Works effectively with cross functional teams to build trusted
partnership.
Experience with recommender/search/ad serving algorithms and
systems is a plus.

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, 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.


Required Skill Profession

Operations Specialties Managers



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