Radancy Programmatic is seeking a Machine Learning Engineer to join our dynamic Data Science team. In this role, you will play a critical part in building the infrastructure and algorithms that power our production programmatic advertising allocation system and collaborate closely with data scientists, product managers, and software engineers.
The Radancy Data Science team has expertise in optimization, regression, classification, and NLP principles to develop world class machine learning strategies for performance advertising that yield the most important results for our customers: hiring the best employees.

PREFERRED QUALIFICATIONS

• 2+ years as a Machine Learning Engineer or equivalent experience.
• Hands-on experience with AWS, docker and Kubernetes.
• Experience in debugging complex system issues.
• Strong Python programming skills, particularly for data intensive tasks.
• Knowledge of machine learning fundamentals and model optimization techniques.
• Understanding of NLP, language models, and their applications.
• Prior involvement in projects involving bid optimization or budget allocation.
• Understanding of CI/CD pipelines (bitbucket pipelines / github workflows), terraform is a plus
• Experience working in AdTech is a plus.