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Machine Learning Robotics Jobs in Georgia (NOW HIRING)

... machine learning. * Educate: Briefly explain the purpose of the technology to participants ... Interest in Computer Science, Robotics, Engineering, or Marketing * Experience in street teaming ...

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 ...

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 ...

... Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or ...

Industrial Technologies Engineer

Lagrange, GA ยท On-site

$62K - $84K/yr

Evaluate and deploy emerging technologies including robotics systems and machine learning models to automate manufacturing processes, improve product quality, and drive operational efficiency Manages ...

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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 Jun 19, 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:
Robotics AI Campus Lead

Robotics AI Campus Lead

Instawork

Atlanta, GA โ€ข On-site

Other

Posted 9 days ago


Job description

Are you the person who knows everyone on campus? Are you fascinated by how AI and robots perceive the world? We're looking for energetic, outgoing, and tech-savvy Campus Ambassadors to help us build the next generation of robotics technology. In this role, you'll be the face of our robotics initiatives on your campus. Your mission is to engage with fellow students and guide them through short, fun data collection sessions using an iPhone. You aren't just collecting data-you're helping train the computer vision models that will power the future.

What You'll Do

  • Engage & Recruit: Approach students on campus (quads, student unions, study areas) and invite them to participate in a paid/incentivized data recording session.
  • Capture Data: Guide students through recording high-quality video and sensor data of participants performing specific movements or interacting with objects using our app.
  • Quality Control: Ensure lighting, framing, and movement instructions are followed strictly to ensure data is usable for machine learning.
  • Educate: Briefly explain the purpose of the technology to participants, creating excitement about the project.
  • Manage Goals: Meet weekly targets for the number of unique participants recorded.

Who You Are

  • The Social Butterfly: You're comfortable walking up to strangers, striking up a conversation, and explaining complex ideas simply. Rejection doesn't phase you.
  • Tech-Fluent: You're comfortable using iOS devices, troubleshooting basic app issues, and following technical instructions.
  • Detail-Oriented: You understand that "garbage in, garbage out" applies to AI. You care about capturing the perfect shot.
  • Reliable: You show up when you say you will and you treat the equipment with care.
  • Currently Enrolled: You're a student at a University with availability to work 10-15 hours per week (flexible schedule).
  • Physically Capable: Comfortable holding an iPhone steady for extended periods and standing/walking around campus for the duration of a shift.

Nice to Haves

  • Interest in Computer Science, Robotics, Engineering, or Marketing
  • Experience in street teaming, sales, or photography
  • Previous ambassador, promotional, or field marketing experience

The Perks

  • Competitive Pay: Earn competitive hourly rates + performance bonuses for hitting high-volume targets
  • Flexible Schedule: Work between classes or on weekends
  • Resume Booster: Gain hands-on experience with an AI/Robotics project and field operations
  • Networking: Connect with the engineering and product teams working on cutting-edge robotics technology

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