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Postdoctoral In Reinforcement Learning Jobs in Michigan

Tata Consultancy Services

AI Researcher

Detroit, MI

... autonomously in the physical world. You will collaborate with interdisciplinary teams of ... From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Michigan? For Postdoctoral In Reinforcement Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Michigan look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Michigan are:
What cities in Michigan are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Michigan with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Michigan as of June 2026, with employment types broken down into 5% Locum Tenens, 81% Full Time, and 14% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Robotics Engineer

Tata Consultancy Service Limited

Troy, MI • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Must Have Technical/Functional Skills
  • Strong ROS/ROS2 experience
  • Proficiency in C++ and/or Python
  • Experience with SLAM, navigation stack, and sensor fusion
  • Hands-on hardware integration experience
  • Debugging in real-world environments
  • Reinforcement learning
  • Multi-robot systems (Swarm cases)
  • Cloud integration (MQTT, telemetry)
  • Manufacturing or warehouse automation exposure

Roles & Responsibilities
Robotics Engineers with strong hands-on expertise in ROS/ROS2 to build and deploy real-world Physical AI solutions in manufacturing and enterprise environments. This is a build-and-deploy role, not research-only.
Responsibilities:
  • Develop robotic applications using ROS/ROS2
  • Implement navigation, SLAM, perception, and autonomy
  • Integrate sensors (LiDAR, IMU, depth cameras) and actuators
  • Work with robotic arms, mobile robots, AGVs, or quadrupeds
  • Deploy solutions on edge devices (Jetson or similar)
  • Support simulation (Gazebo/Isaac)
  • Collaborate with AI and platform teams for connected robotics use cases

Generic Managerial Skills, If any
  • Experts who have deployed real robots (not just simulations)
  • Strong system thinking and problem-solving mindset
  • Ability to operate in fast-paced innovation environments

Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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