Sr. Applied Scientist, GenAI

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.

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You will work alongside a diverse, highly skilled team of AI scientists, engineers, and business leaders to develop novel solutions that amplify storytelling, optimize production workflows, and redefine audience experiences. From crafting AI-driven tools that assist content creators to deploying large-scale AI systems that personalize user journeys, your contributions will shape the future of entertainment. 

This is your chance to work on projects that make a global impact, collaborating with thought leaders and cutting-edge technology in a dynamic, fast-paced environment. If you're passionate about building transformative AI applications and working at the intersection of creativity and technology, this role is for you. 

1. Generative AI Model Development

• Research, design, and develop advanced Generative AI models, including transformer-based architectures (GPT, BERT, etc.). 

• Create and fine-tune generative models for various applications, such as content creation, personalization, and audience engagement. 

• Explore multimodal AI models combining text, image, and video data for unique storytelling experiences. 

• Collaborate with data engineers to prepare large-scale datasets for training and fine-tuning AI models. 

• Continuously improve the performance and efficiency of generative models through experimentation and optimization. 

2. Innovative Applications of Generative AI

• Build prototypes to demonstrate the potential of Generative AI in content creation, virtual production, and marketing campaigns. 

• Drive the development of tools that enable creative teams to collaborate with AI systems for scriptwriting, editing, and asset generation. 

• Investigate opportunities to enhance viewer experience using AI-driven personalization and recommendation systems. 

• Identify emerging trends in Generative AI and evaluate their applicability to business needs. 

• Contribute to intellectual property development by filing patents and publishing research findings. 

3. Collaboration and Cross-Functional Partnerships

• Work closely with product teams to align AI capabilities with business objectives and user requirements. 

• Partner with engineering teams to deploy Generative AI models into production at scale. 

• Collaborate with research teams to translate cutting-edge findings into real-world applications. 

• Act as a technical advisor to creative teams, providing insights into how Generative AI can enhance workflows. 

• Build relationships with external research institutions and industry partners to stay at the forefront of AI innovation. 

4. AI Governance, Ethics, and Quality Assurance

• Ensure responsible use of Generative AI by implementing fairness, transparency, and bias-mitigation practices. 

• Conduct rigorous testing and validation of models to ensure high-quality outputs. 

• Maintain compliance with data privacy and security regulations in all AI projects. 

• Advocate for the ethical deployment of Generative AI in creative and business applications. 

• Regularly audit AI systems to identify and address risks, vulnerabilities, and areas for improvement. 

5. Leadership and Mentorship

• Mentor junior team members and foster a culture of learning, innovation, and collaboration. 

• Provide technical guidance to peers and stakeholders, ensuring best practices in AI development. 

• Represent the company at conferences, workshops, and industry events, showcasing our advancements in Generative AI. 

• Drive knowledge-sharing initiatives within the AI team and broader organization. 

• Contribute to strategic decision-making on AI priorities and investments. 

Qualifications & Experiences: 

Academic Qualifications:

• Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field from a reputable university. 

• Specialized courses or certifications in Generative AI, Deep Learning, or Natural Language Processing (NLP) are a plus. 

Professional Experience:

• 5+ years

• Proven track record of successfully applying generative AI models (e.g., GANs, transformers, VAEs) to real-world problems in the Media & Entertainment, tech, or creative industries. 

• Experience in the end-to-end deployment of generative AI models, from research and development to testing and production. 

• Expertise in working with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.) and cloud technologies (AWS, Azure, GCP). 

• Prior experience in a high-performance, large-scale data environment, with a focus on content generation, personalization, or media processing. 

Technical Skills:

• Strong knowledge of generative AI techniques, such as GANs, Variational Autoencoders (VAEs), transformers (e.g., GPT, BERT), and reinforcement learning. 

• Hands-on experience in deep learning, neural networks, and natural language processing (NLP) techniques. 

• Proficiency in Python, TensorFlow, PyTorch, Keras, or other machine learning libraries. 

• Familiarity with cloud computing platforms (AWS, Google Cloud, Azure) and experience in deploying AI solutions in the cloud. 

• Strong background in data pipelines, model versioning, and continuous integration/continuous deployment (CI/CD) practices. 

Other Skills:

• Ability to think critically and creatively to apply generative AI to solve real-world media and entertainment challenges. 

• Excellent problem-solving and analytical skills, with the ability to work independently and as part of a team. 

• Strong communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders. 

• Proven ability to work in cross-functional teams and collaborate with engineers, product managers, and business stakeholders. 

• Passion for AI, creative technologies, and innovation, with a desire to stay at the cutting edge of the field. 

How We Get Things Done…