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Machine Learning Robotics Jobs (NOW HIRING)

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. They are seeking experienced Machine Learning Engineers to drive the development and ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA · On-site

$184K - $257K/yr

Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI, particularly including areas ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$184K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Avride

Senior / Staff Machine Learning Engineer

Austin, TX

$124.40K - $171.50K/yr

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

Avride

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124.40K - $171.50K/yr

About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... About the Role We are hiring experienced Machine Learning Engineers across Senior, Staff, and ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

By integrating advanced metal forming, robotics, and automated production inside a flexible factory ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

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Machine Learning Robotics information

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$25.5K

$42.6K

$88K

How much do machine learning robotics jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning robotics in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.
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Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Temporary. Highlights an 32% Physical, and 68% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Principal Machine Learning Scientist

Principal Machine Learning Scientist

Gather AI

Pittsburgh, PA

Other

Posted 27 days ago

Job description

About Us

Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction - not just executing on decisions, but helping make them. 

About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle - from research and model architecture through training, deployment, and production monitoring - with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You'll Do

  • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
  • Own the full ML lifecycle from research and experiment design through production deployment and monitoring - applying rigorous ablation studies and SOTA methodology
  • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
  • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
  • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
  • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You'll Need

  • 10+ years of experience in machine learning or computer vision
  • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
  • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
  • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

  • Experience with drone, robotics, or autonomous systems perception
  • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
  • Experience designing and deploying models for real-time inference on constrained compute platforms
  • Warehouse, logistics, or supply chain domain experience

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