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Contractual Computer Vision Deep Learning Engineer Jobs

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact ...

TLM - Computer Vision

Mountain View, CA · On-site

$21.25 - $28.50/hr

Masters or PhD in computer science, mathematics, engineering with 5 years of related working ... Advanced research and development experience in computer vision/deep learning (preferring ...

As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for ... for computer vision in agricultural environments • Own model optimization and deployment ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Computer Vision * Deep Learning * Transformers * LLM fundamentals Cloud & MLOps * AWS (SageMaker ...

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Contractual Computer Vision Deep Learning Engineer information

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How much do contractual computer vision deep learning engineer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for contractual computer vision deep learning engineer in the United States is $59.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $66.35 per hour, depending on experience, location, and employer.
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Infographic showing various Contractual Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,952 per year, or $59.6 per hour.
Deep Learning Engineer

Deep Learning Engineer

Carbon Robotics

Seattle, WA • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Carbon Robotics is an innovative company focused on revolutionizing agriculture with advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and reliability in agricultural environments.
Responsibilities:
• Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
• Own model optimization and deployment pipelines — ensuring high performance, reliability, and scalability across operational field deployments
• Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
• Define best practices for experimentation, documentation, and model evaluation within the team
• Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
• Mentor and provide technical guidance to mid-level and junior engineers
• Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences
Qualifications:
Required:
• 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems
• Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions
• Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform
• Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment
• Proven track record taking ML projects from inception through business impact — including data strategy, pipeline development, experimentation, and deployment at scale
• Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond)
• Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
• Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes
• Strong verbal and written communication skills — able to explain complex model behavior and tradeoffs to non-technical staff and customers
• Experience mentoring engineers and contributing to team technical culture
• 2-7 years of experience in deep learning model optimization and deployment
• BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience)
Preferred:
• Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.