Manager, Machine Learning Engineering

Manager, Machine Learning Engineering – Video AI & Studio AI Job Description What We Do We build next-generation AI systems for video, spanning both large-scale video understanding and creative studio workflows. Our work combines computer vision, multimodal learning, and machine learning to enable capabilities such as scene understanding, metadata generation, visual effects, storyboarding, and color enhancement across media content. We focus on taking ML from research to production, integrating models into real-world systems used by engineering, product, and creative teams. Our goal is to build scalable, high-quality solutions that power both content intelligence and creative workflows. What You’ll Do Lead a team of machine learning engineers working on video AI across understanding and creative applications Stay hands‑on, contributing directly to modeling, prototyping, and production systems Drive execution across the full ML lifecycle: problem definition, modeling, evaluation, and deployment Partner with product, creative, and engineering teams to define priorities and deliver impactful ML‑powered features Build and scale production‑grade ML systems for video understanding and creative workflows Balance rapid iteration with building robust, scalable systems Provide technical leadership and mentorship, raising the bar for ML and engineering practices Collaborate with platform and infrastructure teams to ensure reliable and scalable solutions Qualifications & Experience 8+ years of experience in machine learning / software engineering, with a focus on computer vision, video understanding, and gen AI 2+ years of experience leading or mentoring engineers, with a strong preference for hands‑on leadership Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Proven track record of building and deploying end‑to‑end ML systems in production Strong background in computer vision, video understanding, or multimodal systems Experience with large‑scale datasets and distributed systems Experience with generative AI techniques (e.g., diffusion, image/video generation) Strong system design and architecture skills 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. 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. Pay Range 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: $187,670.00 - $348,530.00 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. Legal Information 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. #J-18808-Ljbffr SwiftCruit