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Warner Bros. Discovery

Director, Machine Learning Engineering - Video AI Job at Warner Bros. Discovery

Warner Bros. Discovery, New York, NY, United States, 10261

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Director, Machine Learning Engineering - Video AI

Join to apply for the Director, Machine Learning Engineering - Video AI role at Warner Bros. Discovery

Director, Machine Learning Engineering - Video AI

Join to apply for the Director, Machine Learning Engineering - Video AI role at Warner Bros. Discovery

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.

What We Do

At WBD , the video AI team comprises of computer vision engineers , M L engineers , and software engineers . W e have an extraordinary catalog of content that spans 100 years of movies and tv shows. In this role, y ou will lead th e video AI team and drive key initiatives that connect our unparalleled content with global audiences through novel (product and marketing) experiences powered by video understanding.

What You’ll Do

Develop and communicate a robust technical vision and strategy for applications based on video and image understanding

Define and track key performance indicators and evaluation protocols to measure product and technical success for video understanding tasks and applications

Work cross-functionally with product management, engineering, and business stakeholders

G uide the development of high-impact end-to-end machine learning systems for media processing

Promote and role-model best practices in data science and engineering throughout the organization

Hire and m entor engineers and researchers on the team and raise the bar for ML excellence across the org

Stay up to date with state-of-the-art developments in the research community and c ontribute back by writing/publishing blogs, articles or papers in conferences

What You’ll Need

M.S or PhD in a Computer Science or related field with specialization in machine learning and/or computer vision

10+ years of building CV/ ML products with for consumer and /or enterprise applications

4+ years of managing high-perf ormance teams

Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities

Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to business audiences

Self-motivated, growth-oriented, and driven to pursue excellence across teams

Deep knowledge of computer vision and audio processing techniques

Experience with multi modal learning for video understanding , Vision language models, diffusion models and agentic workflows

Familiarity with statistics and general machine learning techniques strongly preferred

Production experience implementing, maintaining , and improving machine learning pipelines for media processing and models at scale in Python, Java, Scala, or similar languages using frameworks such as tensorflow and pytorch .

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.

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.

What We Do

At WBD , the video AI team comprises of computer vision engineers , M L engineers , and software engineers . W e have an extraordinary catalog of content that spans 100 years of movies and tv shows. In this role, y ou will lead th e video AI team and drive key initiatives that connect our unparalleled content with global audiences through novel (product and marketing) experiences powered by video understanding.

What You’ll Do

  • Develop and communicate a robust technical vision and strategy for applications based on video and image understanding

  • Define and track key performance indicators and evaluation protocols to measure product and technical success for video understanding tasks and applications

  • Work cross-functionally with product management, engineering, and business stakeholders

  • G uide the development of high-impact end-to-end machine learning systems for media processing

  • Promote and role-model best practices in data science and engineering throughout the organization

  • Hire and m entor engineers and researchers on the team and raise the bar for ML excellence across the org

  • Stay up to date with state-of-the-art developments in the research community and c ontribute back by writing/publishing blogs, articles or papers in conferences

What You’ll Need

  • M.S or PhD in a Computer Science or related field with specialization in machine learning and/or computer vision

  • 10+ years of building CV/ ML products with for consumer and /or enterprise applications

  • 4+ years of managing high-perf ormance teams

  • Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities

  • Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to business audiences

  • Self-motivated, growth-oriented, and driven to pursue excellence across teams

  • Deep knowledge of computer vision and audio processing techniques

  • Experience with multi modal learning for video understanding , Vision language models, diffusion models and agentic workflows

  • Familiarity with statistics and general machine learning techniques strongly preferred

  • Production experience implementing, maintaining , and improving machine learning pipelines for media processing and models at scale in Python, Java, Scala, or similar languages using frameworks such as tensorflow and pytorch .

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: $234,500.00 - $435,500.00 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.If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Seniority level

  • Seniority level

    Director

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Entertainment Providers

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