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Machine Learning Robotics Jobs in Georgia (NOW HIRING)

FlatironDragados

AI Innovation Coordinator

Atlanta, GA · On-site

... machine learning, robotics, or advanced analytics. • Ability to interpret contract documents, construction drawings, specifications, and assess constructability. • Demonstrated interest in AI ...

Serve Robotics

Field Operations Associate

Atlanta, GA · On-site

$22/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

Serve Robotics

Field Operations Associate

Atlanta, GA · On-site

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

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All JobsMachine Learning Robotics JobsMachine Learning Robotics Jobs in Georgia

Machine Learning Robotics information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do machine learning robotics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning robotics in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 per year, depending on experience, location, and employer.

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.

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 most commonly searched types of Machine Learning Robotics jobs in Georgia? The most popular types of Machine Learning Robotics jobs in Georgia are:
What are popular job titles related to Machine Learning Robotics jobs in Georgia? For Machine Learning Robotics jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Machine Learning Robotics jobs in Georgia look for? The top searched job categories for Machine Learning Robotics jobs in Georgia are:
Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $35,957 per year, or $17.3 per hour.

Robotics Perception Engineer

Slip Robotics

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 14 days ago

Job description

About Slip Robotics
Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.
The Role
We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.
We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.
Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements
  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements
This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.
Benefits
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

Apply