Machine Learning Engineer

Nielsen is seeking an organized, detail-oriented team player to join the Engineering team as a Software ML Engineer. The role involves working on Nielsen's Audience Measurement Engineering platforms, which support television viewing measurement in over 30 countries worldwide. The Software Engineer will be responsible for defining, developing, testing, analyzing, and delivering technology solutions within Nielsen's Collections platforms.

Nielsen is passionate about powering a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. The company is dedicated to capturing audience engagement with content, wherever and whenever it's consumed. Joining Nielsen means becoming part of a dynamic team committed to excellence, perseverance, and making an impact together.

The ideal candidate should have a strong background in Machine Learning, with experience in frameworks and models, particularly PyTorch. They should be proficient in web technologies including Java, Python, JavaScript, React/Redux, and Kotlin. A solid understanding of statistical analysis, mathematical data manipulation, and experience with relational databases and big data is required. The role demands strong analytical and problem-solving skills, as well as a passion for learning and growing technology skills.

Additional useful skills include understanding of the AWS ecosystem, experience in building RESTful APIs, and proficiency in writing unit/integration tests including test automation. The position offers an opportunity to work at the forefront of the media revolution, contributing to Nielsen's deep legacy while shaping the future of audience measurement.