SR2 | Socially Responsible Recruitment | Certified B Corporation™
Machine Learning Engineer
SR2 | Socially Responsible Recruitment | Certified B Corporation™, Austin, Texas, us, 78716
Overview
We are seeking a Machine Learning Engineer with hands-on experience in ML-based computer vision to join a small, innovative team developing autonomous systems for real-time detection and tracking applications. You will work on optimizing ML models for deployment in performance-critical embedded environments. Base pay range $160,000.00/yr - $190,000.00/yr Responsibilities
Develop and train computer vision models using large-scale datasets. Optimize inference pipelines for embedded GPUs using OpenCL, C++/Rust, and Python. Enhance real-time detection and tracking capabilities on embedded platforms. Contribute to ML training and evaluation workflows. Required Skills & Experience
5+ years of professional experience in machine learning, with a focus on ML-based computer vision. Strong experience with GPU acceleration and/or embedded ML frameworks (e.g., OpenVINO, PyTorch Mobile, ONNX Runtime). Proficiency in C++ or Rust and Python for ML and systems-level development. Experience with model optimization techniques such as quantization, pruning, or knowledge distillation. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. Solid understanding of computer architecture and performance tuning. Preferred Qualifications
Personal or side projects involving ML or computer vision. 7+ years of industry experience. Experience deploying ML models on edge or IoT devices. Knowledge of signal processing, sensor fusion, or classical computer vision. Seniority level
Mid-Senior level Employment type
Full-time Job function
Robotics Engineering and Software Development
#J-18808-Ljbffr
We are seeking a Machine Learning Engineer with hands-on experience in ML-based computer vision to join a small, innovative team developing autonomous systems for real-time detection and tracking applications. You will work on optimizing ML models for deployment in performance-critical embedded environments. Base pay range $160,000.00/yr - $190,000.00/yr Responsibilities
Develop and train computer vision models using large-scale datasets. Optimize inference pipelines for embedded GPUs using OpenCL, C++/Rust, and Python. Enhance real-time detection and tracking capabilities on embedded platforms. Contribute to ML training and evaluation workflows. Required Skills & Experience
5+ years of professional experience in machine learning, with a focus on ML-based computer vision. Strong experience with GPU acceleration and/or embedded ML frameworks (e.g., OpenVINO, PyTorch Mobile, ONNX Runtime). Proficiency in C++ or Rust and Python for ML and systems-level development. Experience with model optimization techniques such as quantization, pruning, or knowledge distillation. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. Solid understanding of computer architecture and performance tuning. Preferred Qualifications
Personal or side projects involving ML or computer vision. 7+ years of industry experience. Experience deploying ML models on edge or IoT devices. Knowledge of signal processing, sensor fusion, or classical computer vision. Seniority level
Mid-Senior level Employment type
Full-time Job function
Robotics Engineering and Software Development
#J-18808-Ljbffr