Staff Machine Learning Engineer - Video AI Team

Job Description

Staff Machine Learning Engineer - (Video AI), Bangalore
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.
Meet Our Team:
At Warner Bros. Discovery, we are reimagining how machine learning transforms storytelling. As part of the AI/ML organization, focusing on supporting applications of AI to video, the Machine Learning Engineer – Services group powers infrastructure and backend services behind production workflows. We're looking for an experienced ML Engineer with strong fundamentals and infrastructure experience to help build reusable components and services for video understanding, video summary, and video classifications.
You will be part of a team focused on re-training, model hosting, cost optimization, and managing production workflows at scale.

Roles & Responsibilities:
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.
• 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:
• 9-12 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
• Experience in video representation learning (e.g.,TimeSformer/SlowFast/X3D), shot/scene segmentation, keyframe extraction, visual retrieval (CLIP/BLIP/SigLIP or custom dual encoders).
• Retrieval and re-ranking (e.g., HNSW/FAISS)
• Scaling model training/inference on multi-GPUs
• 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
What We Offer:
• A Great Place to work.
• Equal opportunity employer
• Fast track growth opportunities

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, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability 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.

Jobcode: Reference SBJ-4kyk3q-216-73-216-105-42 in your application.