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    Mgr Machine Learning Engineering - New York, United States - WARNERMEDIA

    WARNERMEDIA
    WARNERMEDIA New York, United States

    Found in: beBee S2 US - 1 week ago

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    Full time
    Description

    Every great story has a new beginning, and yours starts here.

    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.

    Your New Role...

    The Manager, Machine Learning Engineering will be part of the Personalization team. This role will grow and lead a team of talented Machine Learning engineers (MLE) and full stack engineers to develop scalable ML systems, and data science models for WBD Streaming content discovery. The manager will partner closely with product and engineering stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business.

    Your Role Accountabilities...

    • Architect and develop robust engineering solutions that utilize machine learning models and algorithms to support personalizations.
    • 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 devops teams to have 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.
    • Develop MLE and infrastructure roadmap, 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.

    The Legal Bits...

    In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. $172, $319,800.00 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 paid time off (PTO).Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. 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 need a reasonable accommodation in order to apply for this position, please contact us at
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