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Postdoctoral In Reinforcement Learning Jobs in Detroit, MI

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

... process automation, reinforcement learning, virtual assistants and specialized programming ... Specialist Exp: 5+ experience in relevant field Skills Required: Artificial Intelligence & Expert ...

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI · On-site

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 ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... 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

See Detroit, MI salary details

$24.7K

$58.4K

$82.7K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Jul 13, 2026, the average yearly pay for postdoctoral in reinforcement learning in Detroit, MI is $58,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.

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 Detroit, MI? For Postdoctoral In Reinforcement Learning jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Detroit, MI look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Detroit, MI are:
Postdoctoral In Reinforcement Learning jobs near you
AI Engineer (W2 Position)

AI Engineer (W2 Position)

Megan soft Inc

Dearborn, MI • On-site

$50 - $55/hr

Other

Re-posted 3 days ago

Job description

We have a job opportunity of a Role AI Engineer with given job description on W2. Please forward updated profile to praveen@megansoft.com or +1(248) 266-0910.

Role : AI Engineer (W2 Position)

Location : Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 8+ Years

Note : Please dont share CPT , OPT and OPT EAD resumes

JD:

Responsibilities:

  • Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation
  • Experience with RAG, Lang Graph, NLP to SQL, ADK, and A2A Behavioral and Technical Interviews required.

Experience Required:

Specialist Exp: 5+ experience in relevant field

Skills Required:

Artificial Intelligence & Expert Systems

Skills Preferred:

Software Development Lifecycle, Software Development, Software Documentation, Application Development, Google Cloud Platform, Full Stack, Python, Azure, Artificial Intelligence & Expert Systems

Thanks & Regards

Praveen

Megan Soft, Inc.

Direct No: +1(248) 266-0910

E Mail: praveen@megansoft.com