2 jobs found in Beaverton

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for NIKE. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Who You'll Work With You will be a part of the larger Global Technology organization working on Nike's internal product creation tools and report to the team's Engineering Manager or Director. You will work day-to-day with a team of talented and driven engineers, the team's Product Manager and Principal Engineers in the organization on software projects to achieve Nike's business objectives. You will also engage with other Global Technology functions and teams on organizational and...

ng a Machine Learning Post Processing Engineer to design, implement, and optimize systems that process, analyze, and enhance machine learning model context from Test and Measurement Acquisition Systems. In this role, you'll work at the intersection of high-performance computing, embedded systems, and AI infrastructure to build robust post-processing pipelines that transform raw ML predictions into actionable insights and refined outputs. You'll collaborate closely with ML researchers, hardware engineers, and platform teams to create scalable, efficient systems that handle large-scale model outputs while maintaining performance, reliability, and integration with broader system architectures. What You'll Do Core ML Post-Processing Responsibilities Design and implement post-processing pipelines for various ML model outputs (computer vision, NLP, time series, etc.) Develop efficient algorithms for model output refinement, filtering, and enhancement Build...