Senior Engineer, Machine Learning, Vision

🔥 16 hours ago

🌵 Arizona, Ohio, +1 more states – Remote

🌵 Arizona – Remote 🏈 Ohio – Remote 🧀 Wisconsin – Remote

💵 $114.7k - $172.1k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Rockwell Automation

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

🚘 Automotive

💼 Consulting

🎖️ Defense

💰 Grant on 2023-07

Automotive • Consulting • Defense

Rockwell Automation is a global leader in industrial automation and digital transformation. The company provides a range of services and products, including industrial control products, software for design and analytics, and solutions for asset management and process management. Rockwell Automation helps industries such as aerospace, automotive, and life sciences become more efficient and sustainable through cutting-edge technology and innovations. They deliver integrated services that encompass everything from hardware and software to cybersecurity and network infrastructure solutions, driving digital transformation and smart manufacturing processes.

📋 Description

• Implement and ship machine learning capabilities in the product, from model training pipeline through the user-facing configuration workflow. • Build and maintain the training, labeling, and dataset management pipelines the product and the field depend on. • Develop evaluation suites and accuracy regression tests that gate model changes before release. • Tune models and inference pipelines to meet latency and throughput targets on edge hardware. • Debug model behavior against real customer data and turn field failures into dataset and evaluation improvements. • Participate in design, code, and model reviews, and contribute to the team's ML engineering practices. • Take modeling approaches from prototype to shipped, monitored features, owning accuracy and latency in production.

🎯 Requirements

• Bachelor's Degree or Equivalent Years of Relevant Work Experience • Typically requires 5+ years of related experience in a software product development environment. • Bachelor's or advanced degree in Computer Science, Electrical Engineering, or a related technical discipline. • Depth in PyTorch or TensorFlow and in modern computer vision architectures. • Experience with edge inference and model optimization - ONNX, TensorRT, quantization. • Experience building dataset and labeling pipelines, including handling class imbalance and label noise. • Familiarity with evaluation-driven workflows: offline metrics, regression suites, and production monitoring. • Exposure to industrial automation, machine vision, or manufacturing quality systems. • Hands-on experience building and training machine learning models in Python • Experience deploying a model into a production system and supporting it afterward

🏖️ Benefits

• Health Insurance including Medical, Dental and Vision • 401k • Paid Time off • Parental and Caregiver Leave • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life. • Annual target bonus of 5% of base salary