Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a Computer Vision Engineer, you will own the core visual perception systems powering ScrapEye and our upcoming industrial AI products. You will build, deploy, and iterate on production-grade vision models that operate continuously in real-world mill conditions.
Responsibilities
- Architecting, training, and deploying real-time computer vision models (detection, segmentation, classification, tracking) for industrial video streams.
- Optimizing vision pipelines for edge deployment and high-throughput, low-latency inference in challenging environments (varying lighting, dust, extreme heat).
- Collaborating with forward-deployed engineers to integrate vision outputs directly into operational workflows and AI control loops.
- Building dataset curation, automated labeling, and active learning pipelines to continuously improve model performance in production.
- Exploring and developing new computer vision applications beyond ScrapEye to solve emerging problems across heavy manufacturing.
Requirements
- Strong fundamentals in deep learning and computer vision (e.g., PyTorch, OpenCV, TensorRT).
- Proven track record of training and deploying vision models into real-world, production environments.
- Strong software engineering skills in Python, with a focus on writing clean, high-performance code.
- Familiarity with edge computing hardware (e.g., NVIDIA Jetson, industrial GPUs) and camera integration protocols.
- Exceptional ability demonstrated in work, school, side projects, or elsewhere.
- Excellent communication skills, both in speech and writing.
- Conscientiousness and a desire to do good work.
- Excited to work in the metals industries.
- Comfortable working in uncertain and dynamic environments.
Skills
- Deep learning
- Computer vision
- PyTorch
- OpenCV
- TensorRT
- Python
- Edge computing
- NVIDIA Jetson
- Industrial GPUs
- Camera integration
Location
- Austin, Texas
Work Type
- In-office
- Occasional travel
Experience Level
- Deployment experience
- Production software experience
Benefits
- Relocation assistance
About the Company
- We build AI technology for the heavy industries.
- Our products work reliably in high-volume production environments 24/7, making decisions worth billions of dollars.
- We solve problems involving manufacturing operations, physics and chemistry, software engineering, AI, and product design.
- We work to bring AI into the physical world to unlock real value for our customers.
- Our vision systems, like ScrapEye, bring real-time computer vision into harsh industrial environments - monitoring scrap metal composition, tracking operations, and automating critical decisions on factory floors.
- We are building a suite of vision-driven AI products that transform physical manufacturing operations.
- We operate across two primary hubs in London, United Kingdom and Austin, Texas.
- We try to work with minimal process and permission, but ample support and collaboration.
- We rarely have a scheduled meeting, but we all work in the office, discussions occur continuously throughout the day, and no request for help goes unanswered for more than a few minutes.
- Features get shipped to production every day.
- Many are designed, developed, and shipped on the customer's site, without a central planning process.