Senior/Staff Applied Machine Learning Scientist

Role overview

Lead applied machine learning work for a high-volume digital advertising platform, developing models that improve campaign effectiveness and return on investment. The role spans research, experimentation, production implementation, and collaboration with engineering teams to make algorithms work reliably at scale.

Responsibilities - Create and improve machine learning methods for advertising and campaign optimization. - Develop production-ready models and efficient, scalable code, partnering with machine learning engineers on deployment and integration. - Prototype algorithms and data pipelines using historical data, then evaluate their performance and ability to scale. - Use experimental results and operational evidence to guide iterative model improvements. - Break down open-ended technical challenges and lead work from initial investigation through implementation.

Requirements - At least three years of industry experience. - A master’s degree or PhD in computer science, statistics, operations research, or a related discipline; additional degrees are a plus. - Strong grounding in statistics, optimization, and machine learning. - Proficiency in programming, data structures, and algorithms. - Ability to turn ambiguous problems into practical, organized steps. - Collaborative approach to working with engineering and data science colleagues.

Benefits and work setup

The role is remote-first and open to candidates in the United States or Canada. Benefits may include health coverage from the start of employment, retirement savings, paid time off, mental health support, home office reimbursement, parental leave, and funding for professional development. Specific benefits depend on location and employment arrangement.