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Deep Learning Robotics Jobs (NOW HIRING)

Carbon Robotics is an innovative company focused on leveraging advanced robotics and AI to improve agricultural practices. As a Deep Learning Engineer, you will design, develop, and deploy deep ...

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 ...

The Carbon Robotics LaserWeederâ„¢ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy--all without herbicides. This innovative ...

Carbon Robotics is an innovative company focused on revolutionizing agriculture through advanced robotics and AI technology. As a Deep Learning Engineer, you will design, develop, and deploy deep ...

The Carbon Robotics LaserWeederâ„¢ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative ...

The Carbon Robotics LaserWeederâ„¢ leverages advanced robotics, computer vision, AI/deep learning, and lasers to eliminate weeds with sub-millimeter accuracy-all without herbicides. This innovative ...

Deep Learning Engineer As a Deep Learning Engineer at Carbon Robotics, you will contribute to designing, developing, and deploying novel deep learning systems that power our autonomous laser weeding ...

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Currently pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or similar field * Strong background in deep learning, with experience in model design, training and ...

Fieldai Robotics Engineer FieldAI's Irvine team is where embodied AI meets real robots, real ... Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ...

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Deep Learning Robotics information

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How much do deep learning robotics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for deep learning robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.
Infographic showing various Deep Learning Robotics job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Deep Learning Manipulation Engineer

Skild AI

San Mateo, CA

Other

Posted 5 days ago


Job description

Position Overview

We are looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you'll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI's robotics capabilities, enabling robots to perform complex tasks autonomously.

Responsibilities
  • Design, implement, and optimize deep learning models for robotic manipulation.
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
  • Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
  • Experience with distributed deep learning systems.