Staff Machine Learning Engineer - Computer Vision

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.

Staff Machine Learning Engineer – Video AI 

 

We are looking for a passionate machine learning expert to lead design and development of next-gen video intelligence efforts that drive key applications powered by multimodal video understanding. You have significant experience in building reliable machine learning products in the computer vision domain. Furthermore, you are passionate about multi modal learning and how AI can transform the media & entertainment industry and make all the amazing content accessible to everyone around the world.  

 

Roles & Responsibilities  

• Architect, build and scale computer vision and multimodal capabilities to support video understanding use-cases within WBD  

• Work closely with Principal Engineers on defining technical vision and strategy for the platform, as well as on prioritizing capabilities alongside with Product team  

• Develop or fine-tune models for fine grained scene segmentation, annotation, summarization, metadata generation, and selection from videos. 

• Use open-source and off-the-shelf gen AI models as the starting point for model fine-tuning and improvements, maximizing precision and recall on WBD content and objectives 

• Help build a culture of innovation and engineering excellence by providing guidance to a team of machine learning engineers  

• Collaborate with adjacent engineering teams to ensure tight integrations to production pipelines in media supply chain and video streaming applications 

• Evaluate and work with vendors to ensure product deliverables and engineering standards are met, when applicable  

• Be a thought leader and engineering and operational excellence champion.  

• Demonstrate and foster a culture of growth mindset and curiosity for keeping up with the evolving state of the art and be nimble to rapidly adapt to new models and architectures 

• Mentor, influence engineers across organizations and lead by example with high quality work at the organization level  

 

What to Bring  

• 7+ years of coding experience in the industry (C/C++, Java, Go, Python)  

• 5+ years of applied machine learning experience to CV tasks,  

• Masters/PhD degree required  

• Excellent familiarity with state-of-the-art large-language-models, image and video models and their applications to multi modal tasks  

• Ability to implement algorithms from state-of-the-art papers in the domain of computer vision (in particular, video processing) 

• Excellent architecture and design skills applied to Machine Learning products  

• Experience with PyTorch and/or TensorFlow  

• Very strong foundations in Computer Science, Data Structures and Algorithms  

• Ability to transfer high level, abstract and ambiguous tasks into a set of clear technical requirements  

• Ability to understand and embrace complex business interest and operations, and communicate the impact of AI in less technical terms with stakeholders 

• Systematic and pragmatic engineer, balancing business sense of urgency with engineering excellence  

• Ability to assess different solutions for the same problem with key metrics, trade-offs and be able to make an informed decision  

 

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.

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.