Machine Learning Engineer
Description For 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.
Responsibilities For Machine Learning Engineer
- Define, develop, test, analyze, and deliver technology solutions within Nielsen's Collections platforms
- Work on Audience Measurement Engineering platforms supporting television viewing measurement
- Follow best practices for software development and deployment
- Contribute to the team's efforts in powering a better media future
Requirements For Machine Learning Engineer
- Bachelor's degree in Computer Science or equivalent degree
- 6+ years of software experience
- Experience with Machine learning frameworks and models
- PyTorch experience preferred
- Strong understanding of statistical analysis and mathematical data manipulation
- Experience with Java, Python, JavaScript, React/Redux, Kotlin
- Understanding of relational database, big data, and experience in SQL
- Proficient at using GIT, GitFlow, JIRA, Gitlab and Confluence
- Strong analytical and problem solving skills
- Open-minded and passionate to learn and grow technology skills
- Strong sense of accountability
- Solution-focused and ability to drive change within the organization
- Experience in writing unit/integration tests including test automation
- Strong testing and debugging abilities, functional, analytical and technical abilities
