Machine Learning Engineer

Find your next opportunity today. Machine Learning Engineer Phoenix,

AZ85083

Employment Type: Perm Job Number: 25827Remote Options: HybridJob DescriptionSr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North Phoenix, AZ or Hillsboro, OR. This role will be onsite 4 days a week and 1 remote day.JOB SUMMARY The role of Senior Machine Learning Engineer will architect and optimize real-time, high-throughput, and ultra-low latency image pipelines for next-generation Mask Inspection Tools. Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms seamlessly processing massive, high-bandwidth streaming data at production scale.ESSENTIAL DUTIES AND RESPONSIBILITIESHigh-Performance Computing Pipeline ArchitectureDesign, implement, and optimize high-throughput, low-latency image processing pipelines for real-time optical inspection and machine vision systems. Develop scalable architectures capable of processing large volumes of imaging data while meeting stringent latency and reliability requirements. Profile and optimize system performance across CPU, GPU, memory, and I/O subsystems. GPU Acceleration Design, develop, and optimize CUDA kernels to accelerate deep learning inference and classical computer vision algorithms. Maximize GPU utilization through efficient memory management, kernel optimization, and parallel programming techniques. Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools. Model Deployment & Optimization Optimize, quantize, and deploy machine learning models using TensorRT, ONNX Runtime, or similar inference frameworks. Integrate AI models into production-grade C++ and Python applications. Improve inference throughput, latency, and resource utilization while maintaining model accuracy. Develop automated deployment and validation pipelines for machine learning models. Concurrency & Systems Optimization Architect and implement multi-threaded, high-concurrency software components for data acquisition, buffering, streaming, and real-time processing. Design robust synchronization and communication mechanisms between hardware interfaces and AI processing pipelines. Optimize end-to-end system performance for deterministic, real-time execution. Cross-Functional Collaboration Partner with machine learning scientists, computer vision engineers, hardware engineers, and software developers to deliver integrated AI solutions. Share This Job: to save this search and get notified of similar positions. Related Jobs: There are currently no related jobs. Please sign up for Job Alerts. Loading... to save this search and get notified of similar positions. About Phoenix, AZ Ready to elevate your career in the vibrant Phoenix, Arizona area? Explore our diverse job opportunities in this dynamic region known for its sunny skies, breathtaking desert landscapes, and thriving job market. Known as the Valley of the Sun, Phoenix boasts a unique mix of Southwestern charm and urban sophistication. Discover the bustling arts scene at the Phoenix Art Museum, catch a performance at the iconic Orpheum Theatre, or cheer on the Arizona Diamondbacks at Chase Field. With an array of outdoor activities in stunning parks like Camelback Mountain and Papago Park, plus delectable Southwestern cuisine to savor, there's no shortage of reasons to make Phoenix your professional playground. Browse our job listings today and unlock a world of career possibilities in this exciting region! Are you sure you want to apply for this job?Please take a moment to verify your personal information and resume are up-to-date before you apply.Snooze message for 30 daysBy checking this box, you will snooze this confirmation message 30 days, and your application will be automatically submitted with your saved information. If you wish to edit your information please visit My Profile Section