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Postdoctoral In Reinforcement Learning Jobs in Murfreesboro, TN

OPmobility

COUNTRY QUALITY APPRENTICE

Spring Hill, TN · On-site

On the job learning reinforcement of what you see in the classroom. * Full exposure of the career. * Mentoring and guidance. * Valuable skill set such as time management, communication, working with ...

kgs

Training Specialist

Nashville, TN · On-site

... or reinforcement. * Coordinate and manage the new hire onboarding training program, ensuring all ... Proficiency in e-learning authoring tools such as Articulate Storyline 360, Adobe Captivate, or ...

kgs

Training Specialist

Nashville, TN · On-site

... or reinforcement. * Coordinate and manage the new hire onboarding training program, ensuring all ... Proficiency in e-learning authoring tools such as Articulate Storyline 360, Adobe Captivate, or ...

Helping Hearts USA LLC

Weekend Nanny

Nashville, TN · On-site

$16 - $22/hr

Private home in the Nashville, Tennessee areaPrimary Day: Saturdays preferredPossible Flexibility ... Learning and Development The nanny should be comfortable planning meaningful, age-appropriate ...

Helping Hearts USA LLC

Child Care

Nashville, TN · On-site

$22/hr

Private home in the Nashville, Tennessee areaPrimary Day: Saturdays preferredPossible Flexibility ... Learning and Development The nanny should be comfortable planning meaningful, age-appropriate ...

Vanderbilt University

Staff Scientist

Nashville, TN · On-site

... postdoctoral fellows, graduate students, and research staff - Analyze complex datasets and ... We welcome those who are interested in learning and growing professionally with an employer that ...

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Postdoctoral In Reinforcement Learning information

See Murfreesboro, TN salary details

$22.1K

$52.1K

$73.7K

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

As of Aug 10, 2026, the average yearly pay for postdoctoral in reinforcement learning in Murfreesboro, TN is $52,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,200.00 and $58,700.00 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?

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 Murfreesboro, TN? For Postdoctoral In Reinforcement Learning jobs in Murfreesboro, TN, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Murfreesboro, TN look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Murfreesboro, TN are:
Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Murfreesboro, TN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,085 per year, or $25 per hour.

COUNTRY QUALITY APPRENTICE

OPmobility

Spring Hill, TN • On-site

Full-time

Re-posted 24 days ago

OPmobility rating

7.4

Company rating: 7.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

285th of 487 rated machine equipment manufacturers

Job description

Ready to take on meaningful challenges and shape the next generation of mobility?
Joining OPmobility means stepping into a global group with a purpose to keep people and goods moving safely, smarter, and sustainably everywhere.
The mission for this role is to support quality improvement activities.
Day to day responsibilities include:
  1. Prepare quality training material, paint defect catalog for each plant.
  2. Support preparing data for GP12 and EOL, Pre-Inspection, Pareto, trends for new launches.
  3. Participate in A3 problem solving Teams to improve RFT, Scrap reduction.
  4. Participate with Quality plant in Quality Basics deployment.

Qualifications: Advanced Excel Skills, Microsoft Power Point, Power BI, Basics of Lean Manufacturing.
What we can provide for student:
  • Flexible work hours to accommodate school schedule.
  • On the job learning reinforcement of what you see in the classroom.
  • Full exposure of the career.
  • Mentoring and guidance.
  • Valuable skill set such as time management, communication, working with others, problem solving and much more.

At OPmobility, people truly matter. We are committed to building inclusive teams, promoting diversity and equality, and ensuring that every application is considered fairly - because the future of mobility is built by diverse perspectives, bold ideas, and people who dare to move forward.
Innovation is therefore not a buzzword, but a natural part of everyday work. You'll grow in an international environment where cutting-edge technologies, industrial excellence, and real-world impact come together to tackle the challenges of tomorrow's automotive industry.
Founded in 1946 by Pierre Burelle, OPmobility, known until 2024 as Plastic Omnium, has transformed itself into a player in sustainable and connected mobility. Today, OPmobility develops technological solutions across four areas of expertise: exterior and lighting systems, the integration of complex modules, technologies related to energy storage, hydrogen and electrification, and a division dedicated to the development of embedded software and digital solutions.
With €11.5 billion in revenue in 2025, 152 factories, 40 R&D centers, and nearly 38,100 employees across 28 countries, OPmobility combines global scale with local impact. All driven by a shared ambition to accelerate the automotive energy transition.
Date: Jul 14, 2026
Location:

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