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Reinforcement Learning Robotics Jobs in Michigan

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

Our internal platform uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral refining circuits.

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

... as Deep Learning, Reinforcement learning, Transformers, Natural Language Processing (NLP ... Robotics application are strongly preferred. • Strong knowledge of ML, DL theory. • Strong ...

Tata Consultancy Services

AI Researcher

Detroit, MI

From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

... ADAS, robotics, large-scale computer vision systems, simulation and synthetic data, reinforcement learning, or large-scale ML platforms. • Demonstrated track record leading a team of 10 or more ...

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Reinforcement Learning Robotics information

What is reinforcement learning in robotics?

Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.

What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?

One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.

What are the key skills and qualifications needed to thrive as a reinforcement learning robotics engineer, and why are they important?

To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.

What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?

AspectReinforcement Learning RoboticsMachine Learning Engineer
Required CredentialsDegree in Robotics, Computer Science, or related fields; knowledge of reinforcement learningDegree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms
Work EnvironmentRobotics labs, manufacturing, autonomous systemsTech companies, data-driven projects, software development
Industry UsageAutonomous robots, industrial automation, researchData analysis, predictive modeling, AI applications

Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.

What are popular job titles related to Reinforcement Learning Robotics jobs in Michigan?

For Reinforcement Learning Robotics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Robotics jobs in Michigan look for?

The top searched job categories for Reinforcement Learning Robotics jobs in Michigan are:

What cities in Michigan are hiring for Reinforcement Learning Robotics jobs?

Cities in Michigan with the most Reinforcement Learning Robotics job openings:

Reinforcement Learning Robotics jobs near you
Infographic showing various Reinforcement Learning Robotics job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

AI Expert Robotics - onsite

Detroit, MI

Eccalon LLC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Eccalon LLCexternal

Full-time

Re-posted 14 days ago

Job description

Job Description

The AI Expert – Robotics will lead the design, development, and integration of artificial intelligence and machine learning capabilities into robotic systems. This role combines deep expertise in AI/ML with hands-on robotics experience to build intelligent, autonomous, and adaptive robotic solutions for mission-critical applications.

Responsibilities

  • Design and develop AI-driven algorithms for robotic perception, decision-making, planning, and control
  • Integrate machine learning and artificial intelligence models into robotic platforms and embedded systems
  • Develop and optimize computer vision, sensor fusion, and autonomy solutions for robotics applications
  • Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system integration
  • Train, evaluate, and deploy ML models in real-world robotic environments
  • Support simulation, testing, validation, and field deployment of AI-enabled robotic systems
  • Analyze system performance and continuously improve autonomy, accuracy, and reliability
  • Document system architectures, models, and technical designs
  • Stay current with emerging AI, ML, and robotics technologies and best practices

Required Qualifications

  • Bachelor’s degree in Robotics, Computer Science, Artificial Intelligence, Engineering, or a related field
  • 5+ years of experience in AI/ML and robotics development
  • Strong programming experience in Python and/or C++
  • Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience working with robotic systems, sensors, and actuators
  • Solid understanding of robotics fundamentals including kinematics, controls, and perception
  • Experience deploying AI models to production or real-world environments

Preferred Qualifications

  • Master’s degree or PhD in AI, Robotics, or a related discipline
  • Experience with ROS / ROS2 and robotic middleware
  • Background in autonomous systems, mobile robots, or robotic arms
  • Experience with computer vision, deep learning, or reinforcement learning
  • Familiarity with simulation environments (e.g., Gazebo, Isaac Sim)
  • Experience supporting government, defense, or regulated programs
  • Ability to obtain and maintain a security clearance if required by contract
Eccalon logo

About Eccalon

Sourced by ZipRecruiter

We are a cross-functional collective of innovative minds that leverages technology to tackle the most challenging problems of this generation for clients, the nation, and the world. Eccalon fosters creativity, curiosity, and imagination across all departments and divisions to pioneer new ideas, products, and services. We advance innovation.​

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Hanover, MD, US

Year founded

2017

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