Onward Search is a specialized staffing and talent solutions company that helps professionals find top jobs with the nation’s leading brands. We’re looking to hire a Computer/ Machine Learning Vision Engineer for a growing, high quality Sports Tech Company! This is a fulltime, remote 3-month contract opportunity! Responsibilities: • Productionize an AI-based image matching engine, optimizing it from a 20-minute CPU process to a real-time or near real-time GPU-powered pipeline. • Build a C++ back-end to interface with Unity and support responsive front-end user interactions. • Develop tools to capture, process, and analyze images of baseballs in motion, extracting features like spin rate, spin axis, and motion path. • Collaborate with ML researchers to refine a large-scale lookup table system that classifies ball patterns into efficient trajectories. • Integrate your backend with our Unity platform using C# for plug-in or data-passing purposes. • Help explore future deployment on edge computing platforms like NVIDIA Jetson (Linux-based systems). • Work closely with product, Unity devs, and AI teams to define the system architecture and achieve demonstrable results for the January trade show. Requirements: • Proven experience building and deploying computer vision or image recognition systems in real-time or near-real-time environments. • Strong proficiency in C++ with a focus on performance optimization and GPU integration (CUDA, TensorRT, or equivalent). • Experience working with Python-based ML pipelines and adapting them for production use. • Familiarity with image pattern recognition, optical flow, or similar techniques. • Solid understanding of GPU-based processing and its advantages over CPU-based approaches. • Comfortable collaborating across disciplines (e.g., Unity devs, machine learning researchers, game designers). Perks & Benefits: • Medical, Dental, and Vision Insurance • Life Insurance • 401k Program • Commuter Benefit • eLearning • Education Reimbursement • Ongoing Training & Development • • To qualify for our benefits package, you must work over 30 hours per week and the length of assignment must be a minimum of 10 weeks. To learn more about this opportunity, apply now. Our recruitment team will be in touch, guide you through the interview process, and advocate on your behalf.