App Developer - AI/ML

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. Your New Role : As an App Developer - AI/ML at one of the largest global Media & Entertainment companies, you will play a crucial role in building and optimizing cutting-edge applications powered by Artificial Intelligence and Machine Learning. In this exciting and dynamic environment, you will have the opportunity to contribute directly to the creation of innovative solutions that transform content delivery, user experiences, and engagement. Your work will empower millions of users around the world and support the business in staying at the forefront of technological advancements. You will be part of a talented, forward-thinking team working with the latest tools and technologies to develop scalable, high-performance AI/ML-powered applications. If you are passionate about AI and ML, have a strong app development background, and are eager to create impactful applications, this is the perfect opportunity for you to join an industry-leading organization that thrives on innovation. 1. AI/ML Application Development Design, develop, and maintain AI/ML-powered applications that enhance the company's core services and customer-facing products. Collaborate with cross-functional teams to integrate AI/ML models into mobile and web applications seamlessly. Ensure that AI/ML features in applications are scalable, high-performing, and reliable, meeting the demands of millions of users. Build and optimize mobile and web interfaces for AI-powered functionalities, such as personalized content recommendations, intelligent search, and dynamic content creation. Implement end-to-end app solutions by incorporating data pipelines, machine learning models, and real-time data processing. 2. AI/ML Model Integration & Optimization Collaborate with data scientists and AI/ML engineers to integrate machine learning models into mobile/web platforms and ensure they work seamlessly across multiple devices. Conduct optimization of AI/ML models for high-performance deployment, reducing latency and enhancing the user experience. Implement techniques like transfer learning, deep learning, and reinforcement learning to improve model performance and overall system efficiency. Monitor and troubleshoot deployed AI models within applications to ensure continuous improvement and enhancement. Contribute to model versioning, model rollback strategies, and performance tuning in production environments. 3. Cross-Functional Collaboration & Stakeholder Management Work closely with product managers, UX/UI designers, and business teams to ensure AI features align with customer needs and business objectives. Partner with software engineers, data scientists, and AI architects to align on the architecture, design, and functionality of AI-driven features. Translate business requirements into technical solutions by applying a deep understanding of AI/ML technologies. Communicate technical challenges and solutions effectively to non-technical stakeholders and business leaders. Contribute to brainstorming and ideation sessions for new features or apps that leverage AI/ML technologies. 4. Continuous Improvement & Innovation Stay up-to-date with the latest AI/ML trends, tools, and technologies to ensure the app development process is innovative and competitive. Experiment with new frameworks, technologies, and AI methods to enhance the functionality and performance of applications. Regularly evaluate the performance of AI-powered applications and contribute ideas for optimization and future improvements. Collaborate with the team to resolve any application issues and refine features based on user feedback and testing results. Contribute to the continuous improvement of development practices by introducing new approaches or optimizing current processes. 5. Quality Assurance & Testing Ensure that all AI/ML applications are tested thoroughly and function as intended across all supported platforms (mobile, web, etc.). Develop unit tests, integration tests, and other quality assurance measures for AI-powered app features. Debug and resolve issues related to performance, scalability, and security in applications. Ensure compliance with industry standards and internal guidelines for coding practices, security, and data privacy. Take ownership of the deployment process, ensuring smooth application launches and versioning management. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. Specialized certifications in AI/ML or app development technologies are a plus. Professional Experience: 3+ years of experience in app development with a strong focus on integrating AI/ML technologies. Hands-on experience with AI/ML application development, including model integration, real-time inference, and deployment. Proficient in developing mobile and web applications using modern development frameworks (e.g., React Native, Swift, Kotlin, Django, Flask). Experience with cloud platforms (AWS, GCP, Azure) and integrating AI models within cloud-native applications. Experience with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn, with the ability to optimize and scale models in production. Technical Skills: AI & Machine Learning Expertise Deep Learning Frameworks – Experience with TensorFlow, PyTorch, or JAX for training and fine-tuning models. Generative Models – Knowledge of transformers (GPT, BERT, LLaMA), diffusion models (Stable Diffusion, DALL·E), and VAEs. Prompt Engineering – Ability to craft effective prompts and optimize LLM responses. Model Fine-Tuning & Optimization – Experience in LoRA, PEFT (Parameter Efficient Fine-Tuning), RLHF (Reinforcement Learning with Human Feedback). NLP & Computer Vision – Depending on the application (text, images, or multimodal AI). Full-Stack Development Frontend Technologies – React, Next.js, Vue.js for web apps; Swift/Kotlin for mobile apps. Backend Development – Node.js, Python (FastAPI, Flask, Django), or Go for API development. Database Management – NoSQL (MongoDB, Firebase), SQL (PostgreSQL, MySQL). API Integration – Experience with OpenAI API, Anthropic, Hugging Face, Google Gemini, etc. Cloud & DevOps Cloud Platforms – AWS (SageMaker, Lambda), Google Cloud (Vertex AI), Azure (OpenAI services). Containerization & Deployment – Docker, Kubernetes for scalable AI services. MLOps & CI/CD – GitHub Actions, MLflow, Kubeflow for continuous model integration and monitoring. Other Skills: Strong problem-solving skills, with the ability to tackle complex technical challenges. Experience with Agile development methodologies and familiarity with CI/CD pipelines for app development. Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. A collaborative mindset with a focus on working in teams and driving projects forward in a dynamic, fast-paced environment. Passion for AI and its transformative role in the Media & Entertainment industry. 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, 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.