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 devel…