Senior Machine Learning Engineer (Temporary)

Who We Are: At Brooks, we believe movement is the key to feeling more alive. That’s why we’re driven to create gear and experiences that take people to the place that makes them feel more alive — whether it’s a headspace, a feeling, or a finish line.  Everyone who works at Brooks is propelled by a company culture that sparks excitement, fuels collaboration, inspires creativity, and ignites innovation. Our brand values help bond us together and drive our success:   Runner First  We act in the best interest of the runner Word is Bond  We do what we say we’ll do  Champion Heart   We give our all in everything we do   There is no “I” in Run  We stay generous with our humanity  Keep Moving  We find ways to move every day, because joy is kinetic! We welcome everyone from every walk of life looking to inspire others through the power of movement - because we’re all moving towards something. Let’s run there.    Your Job: Brooks is embarking on an exciting journey to harness our data assets across a wide range of job functions—including product innovation, marketing, supply chain, customer experience, and various corporate areas such as HR, Finance, IT, and Legal. Our goal is to build and scale the data science and Machine Learning capabilities to support every corner of our operations and the communities we serve. At Brooks, we collaborate and are super curious to explore the "art of the possible" with data and technology in service to our runners and the communities we serve. As a Senior Machine Learning (ML) Engineer, you will work closely with Data Engineers, Architects and Business stakeholders to undertake research and transition models into scalable production code. We’re looking for someone who embraces ML Engineering best practices, developing high-performance, reusable code and infrastructure.   Note: This is an 8-month full-time temporary role.