... learning, reinforcement learning, numerical analysis, statistics, robotics, or distributed computing. 5. Proficient in Linux or other Unix-based operating system. 6. Experience leading software ...
... learning, reinforcement learning, numerical analysis, statistics, robotics, or distributed computing. 5. Proficient in Linux or other Unix-based operating system. 6. Experience leading software ...
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Quick apply
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Practice Manager - AI & Data
Troy, MI · On-site
$160K - $190K/yr
... devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ... Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning) * Support ...
Sr. Data Engineer
Ann Arbor, MI · On-site
$140K - $200K/yr
Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral ...
Sr. Data Engineer
Ann Arbor, MI · On-site
$140K - $200K/yr
Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots-but applied to autonomous, short-interval control of mineral ...
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?
| Aspect | Reinforcement Learning Robotics | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Robotics, Computer Science, or related fields; knowledge of reinforcement learning | Degree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms |
| Work Environment | Robotics labs, manufacturing, autonomous systems | Tech companies, data-driven projects, software development |
| Industry Usage | Autonomous robots, industrial automation, research | Data 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 Detroit, MI?
For Reinforcement Learning Robotics jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Robotics jobs in Detroit, MI look for?
The top searched job categories for Reinforcement Learning Robotics jobs in Detroit, MI are:
- Artificial Intelligence Machine Learning Engineer
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- No Experience Nvidia Machine Learning
- Freelance Google Machine Learning Engineer
- Machine Learning Research Intern
- Intern Computer Vision Deep Learning Engineer
- Contract Apple Machine Learning Engineer
- Remote Nasa Jpl
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Research Engineer III - Software Developer with Security Clearance
Ann Arbor, MI • On-site
Michigan Technological University
• Colleges, Universities, and Professional Schools • 1 - 5K employees1,001 - 5,000 employees
$203K/yr
Other
Posted 16 days ago
Michigan Technological University rating
8.3
Based on 21 frontline employees who took The Breakroom Quiz
Job description
Michigan Technological University is an R1 technological research university founded in 1885 in Houghton. Our rural campus is situated just miles from Lake Superior in Michigan's scenic Upper Peninsula and is home to nearly 7,500 students from more than 60 countries around the world. Consistently ranked among the best universities in the country for return on investment, Michigan’s flagship technological university offers more than 185 undergraduate and graduate degree programs. Research focus areas include defense, health, energy, automotive, environment, and aerospace. The area’s waters, forests, and snowfall support year-round recreation, including skiing, snowboarding, hiking, biking, and paddling. The University is an integral part of the region, supported by a friendly and welcoming community that takes pride in being a true college town. We embrace our size, climate, sense of adventure, and originality. Summary MTRI is seeking a motivated professional to help support multiple projects for our government and commercial customers. The Software Developer will work with senior engineers and scientists to research, develop, and evaluate algorithms for a variety of signal and/or image processing applications. The successful candidate will have a solid background in computer science with strong skills in software prototyping, software design, and deployment. The position is on-site, located at MTRI in Ann Arbor, MI (www.mtri.org). Responsibilities and Essential Duties 1. Participate as an integral team member on multi-disciplinary research relating to applying technological skills to solving governmental and societal needs.
2. Provide technical, analytical and numerical support for research and development projects in the areas of mathematics, statistics, programming, electrical engineering, remote sensing, and signal
processing.
3. Lead software development projects and coordinate teams of junior software developers.
4. Develop software to prototype and evaluate signal processing, remote sensing, and/or machine learning algorithms.
5. Assist with defining software objectives by analyzing user requirements, system features, and functionality.
6. Recommend software solutions by comparing the pros and cons of custom versus off-the-shelf alternatives.
7. Coordinate requirements and schedules, contribute to team meetings, troubleshoot development and production problems.
8. Develop software documentation and assistance tools.
9. Continue to improve performance by being aware of new technologies and software products, participating in educational opportunities, reading professional publications, and participating in
professional organizations.
10. Accept ownership of, and responsibility for responding to, new and varied requests.
11. Assist research staff with deployment of cloud computing architectures for data processing.
12. Apply safety-related knowledge, skills, and practices to everyday work. Apply safety-related knowledge, skills, and practices to everyday work. Required Education, Certifications, Licensures • Master’s degree or higher in computer science, computer engineering, mathematics, electrical engineering, or a similar related field, and 5 years of professional software development experience
OR
• Bachelor’s degree in computer science, computer engineering, mathematics, geospatial data science, electrical engineering, or a similar related field, and 8 years professional software development experience Required Experience 1. Experience in the design, implementation, and evaluation of algorithms.
2. Professional experience in software development.
3. Proficiency in at least one of the following: Python, C++, MATLAB,
4. Proficient in at least three of the following: applied mathematics, physics, electrical engineering, software design, signal processing, image processing, machine learning, reinforcement learning, numerical analysis, statistics, robotics, or distributed computing.
5. Proficient in Linux or other Unix-based operating system.
6. Experience leading software development teams. Desirable Education and/or Experience 1. Experience in or coursework covering geospatial data or image processing.
2. Experience with sensors or signal processing.
3. Experience with one or more of the following: database design and maintenance, CI/CD pipelines, ROS (Robotic Operating System), geospatial data processing (GDAL or similar),
4. Experience working with multidisciplinary teams to perform research, solve technical problems, and/or develop software tools.
5. Experience with the deployment of cloud-based computing architectures. Required Knowledge, Skills, and/or Abilities 1. Ability and willingness to obtain a Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.
2. Excellent interpersonal, oral/written, and presentation communication skills.
3. Demonstrated ability to participate in team projects.
4. Demonstrated commitment to contribute to a safe work environment. Desirable Knowledge, Skills, and/or Abilities 1. Holds active Department of Defense security clearance
2. Ability to clearly communicate complex ideas at meetings and symposia.
3. Ability to contribute to competitive grant proposals. Work Environment and/or Physical Demands
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate. Required Training and Other Conditions of Employment Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training:
• Employee Safety Overview
• Anti-Harassment, Discrimination, Retaliation Training
• Annual Data Security Training
• Annual Title IX Training Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Full-Time Equivalent (FTE) % (1=100%)
1 FLSA Status Exempt Appointment Term 12 months Shift - Pay Rate/Salary Negotiable based on experience Title of Position Supervisor Research Engineer III Posting Type
Internal and External
Dependent on Funding
Yes Additional Information This position is contingent upon the continued availability of external funding. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or . Other Conditions of Employment:
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities. The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety. In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find our notice that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
2. Provide technical, analytical and numerical support for research and development projects in the areas of mathematics, statistics, programming, electrical engineering, remote sensing, and signal
processing.
3. Lead software development projects and coordinate teams of junior software developers.
4. Develop software to prototype and evaluate signal processing, remote sensing, and/or machine learning algorithms.
5. Assist with defining software objectives by analyzing user requirements, system features, and functionality.
6. Recommend software solutions by comparing the pros and cons of custom versus off-the-shelf alternatives.
7. Coordinate requirements and schedules, contribute to team meetings, troubleshoot development and production problems.
8. Develop software documentation and assistance tools.
9. Continue to improve performance by being aware of new technologies and software products, participating in educational opportunities, reading professional publications, and participating in
professional organizations.
10. Accept ownership of, and responsibility for responding to, new and varied requests.
11. Assist research staff with deployment of cloud computing architectures for data processing.
12. Apply safety-related knowledge, skills, and practices to everyday work. Apply safety-related knowledge, skills, and practices to everyday work. Required Education, Certifications, Licensures • Master’s degree or higher in computer science, computer engineering, mathematics, electrical engineering, or a similar related field, and 5 years of professional software development experience
OR
• Bachelor’s degree in computer science, computer engineering, mathematics, geospatial data science, electrical engineering, or a similar related field, and 8 years professional software development experience Required Experience 1. Experience in the design, implementation, and evaluation of algorithms.
2. Professional experience in software development.
3. Proficiency in at least one of the following: Python, C++, MATLAB,
4. Proficient in at least three of the following: applied mathematics, physics, electrical engineering, software design, signal processing, image processing, machine learning, reinforcement learning, numerical analysis, statistics, robotics, or distributed computing.
5. Proficient in Linux or other Unix-based operating system.
6. Experience leading software development teams. Desirable Education and/or Experience 1. Experience in or coursework covering geospatial data or image processing.
2. Experience with sensors or signal processing.
3. Experience with one or more of the following: database design and maintenance, CI/CD pipelines, ROS (Robotic Operating System), geospatial data processing (GDAL or similar),
4. Experience working with multidisciplinary teams to perform research, solve technical problems, and/or develop software tools.
5. Experience with the deployment of cloud-based computing architectures. Required Knowledge, Skills, and/or Abilities 1. Ability and willingness to obtain a Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States.
2. Excellent interpersonal, oral/written, and presentation communication skills.
3. Demonstrated ability to participate in team projects.
4. Demonstrated commitment to contribute to a safe work environment. Desirable Knowledge, Skills, and/or Abilities 1. Holds active Department of Defense security clearance
2. Ability to clearly communicate complex ideas at meetings and symposia.
3. Ability to contribute to competitive grant proposals. Work Environment and/or Physical Demands
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually low to moderate. Required Training and Other Conditions of Employment Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training:
• Employee Safety Overview
• Anti-Harassment, Discrimination, Retaliation Training
• Annual Data Security Training
• Annual Title IX Training Background Check:
Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.
Full-Time Equivalent (FTE) % (1=100%)
1 FLSA Status Exempt Appointment Term 12 months Shift - Pay Rate/Salary Negotiable based on experience Title of Position Supervisor Research Engineer III Posting Type
Internal and External
Dependent on Funding
Yes Additional Information This position is contingent upon the continued availability of external funding. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or . Other Conditions of Employment:
Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities. The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. Michigan Tech will provide a paper copy upon request; please contact the Michigan Tech Public Safety. In compliance with the federal Drug-Free Schools and Communities Act (DFSCA) and its implementing regulations (34 CFR Part 86), Michigan Tech is committed to maintaining a drugfree campus environment and actively promoting the health and safety of its community. Find our notice that outlines the University's policies, legal sanctions, health risks, and available support resources related to the unlawful possession, use, or distribution of illicit drugs and alcohol.
What Michigan Technological University employees say
Pay
Benefits
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Workplace
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About Michigan Technological University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Houghton, MI, US
Year founded
1885