Deep Learning Engineer — Autonomous Laser Weeding

NEXT Ai PRESS; Seattle, Northern (WA, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Carbon Robotics in Seattle, WA is seeking a Deep Learning Engineer to design, develop, and deploy novel deep learning systems powering autonomous laser weeding robots in agricultural settings.

You will optimize models, build deployment pipelines, and contribute to end-to-end ML workflows, collaborating with engineering and product teams, and mentoring junior engineers.

The role requires 2–7 years of production CV/DL experience, PyTorch expertise, and strong C++ skills.

Qualifications

• 2–7 years of experience designing and implementing novel deep learning architectures for production computer vision systems.
• Hands-on experience with sensor integration and web services in robotics or autonomous field equipment.
• Proficiency in PyTorch and C++ for performance-critical model development and deployment.

Responsibilities

• Lead 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 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 technical and non-technical audiences.

Skills

Deep learning

PyTorch

C++

Object detection

Deployment

Mentoring

Education

BS+ in Computer Science or related field

Tools

PyTorch

C++

Job description

Carbon Robotics in Seattle, WA is seeking a Deep Learning Engineer to design, develop, and deploy novel deep learning systems powering autonomous laser weeding robots in agricultural settings.

You will optimize models, build deployment pipelines, and contribute to end-to-end ML workflows, collaborating with engineering and product teams, and mentoring junior engineers.

The role requires 2–7 years of production CV/DL experience, PyTorch expertise, and strong C++ skills.