Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™; Austin (TX); On-site; USD 160,000 - 190,000; Full time

Job summary

A technology firm in Austin, TX is looking for a Machine Learning Engineer to develop and optimize ML-based computer vision models for real-time detection and tracking in embedded environments. Candidates should have over 5 years of experience in machine learning, strong programming abilities in C++ or Rust, and a solid grasp of GPU acceleration techniques. This full-time role offers competitive compensation ranging from $160,000 to $190,000 per year.

Qualifications

• 5+ years of experience in machine learning with a focus on ML-based computer vision.
• Strong experience with GPU acceleration and embedded ML frameworks.
• Proficiency in C++ or Rust and Python.

Responsibilities

• Develop and train computer vision models using large-scale datasets.
• Optimize inference pipelines for embedded GPUs.
• Enhance detection and tracking capabilities on embedded platforms.

Skills

Machine Learning

Computer Vision

C++

Python

Rust

Education

Bachelor’s or Master’s degree in Computer Science or Electrical Engineering

Tools

OpenVINO

PyTorch Mobile

ONNX Runtime

Job description

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