Ai Engineer • Senior

Who you are

You have a strong background in AI and computer vision, with a focus on multi-modal Large Language Models — your experience includes architecting and implementing AI systems that derive insights from complex data. You are passionate about pushing the boundaries of AI research and applying it to real-world problems, particularly in the sports ecosystem. Your technical expertise is complemented by your ability to collaborate with cross-functional teams, ensuring that your solutions meet client needs and drive impactful results.

You possess a deep understanding of machine learning frameworks and tools, particularly in Python — your proficiency allows you to develop and optimize algorithms that enhance data processing and analysis. You are comfortable working with large datasets and have experience in extracting meaningful insights from multimedia content. Your analytical mindset enables you to approach challenges creatively, finding innovative solutions that leverage the latest advancements in technology.

What you'll do

In this role, you will lead the design and implementation of AI systems that unlock novel insights from complex multimedia sports data — your work will directly contribute to Nielsen's mission of providing comprehensive data and analytics for the global sports ecosystem. You will collaborate closely with data scientists, engineers, and product managers to ensure that the AI solutions you develop align with business objectives and client expectations.

You will be responsible for conducting research to stay at the forefront of AI advancements, particularly in computer vision and language models — your insights will help shape the direction of projects and influence product development. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and innovation within the team.

What we offer

At Nielsen, you will join a dynamic team committed to excellence and innovation — we provide a supportive environment where your contributions are valued and recognized. You will have the opportunity to work on cutting-edge technology that impacts the media landscape, driving significant change in how audience engagement is understood and analyzed. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse perspectives to enhance our work.