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Remote Autonomous Systems Jobs in Tennessee (NOW HIRING)

Legion Health

$50K - $150K/yr

Our exceptional psychiatrists operate with clinical autonomy, supported by experienced peers. Our ... Collaborate with PMHNPs through secure telehealth and clinical systems. * Significant ...

BAE Systems

Contract Admin Sr Prin

Kingsport, TN · On-site +1

BAE Systems, one of the world's largest defense contractors and a stable Fortune 500 Company, is ... However, based on multiple factors, remote work may be a possibility for this position, at the ...

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Remote Autonomous Systems information

What is the difference between Remote Autonomous Systems vs Remote Robotics Engineers?

AspectRemote Autonomous SystemsRemote Robotics Engineers
Required credentialsBachelor's or higher in engineering, computer science, or related fields; experience with AI, machine learning, and control systemsBachelor's or higher in robotics, mechanical, electrical engineering; proficiency in programming and hardware integration
Work environmentDesigning, testing, and deploying autonomous systems remotely, often in industries like defense, transportation, or agricultureDeveloping robotic hardware/software remotely, often in research labs or industrial settings
Employer and industry usageTech companies, defense contractors, transportation firmsRobotics startups, manufacturing, research institutions

Remote Autonomous Systems professionals focus on creating and managing autonomous technologies remotely, often involving AI and control systems. Remote Robotics Engineers develop robotic hardware and software remotely, emphasizing hardware integration and mechanical design. While both roles require engineering expertise and often overlap in AI and automation, their primary focus and industry applications differ.

What are the most commonly searched types of Autonomous Systems jobs in Tennessee?

The most popular types of Autonomous Systems jobs in Tennessee are:

What are popular job titles related to Remote Autonomous Systems jobs in Tennessee?

For Remote Autonomous Systems jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Remote Autonomous Systems jobs in Tennessee look for?

The top searched job categories for Remote Autonomous Systems jobs in Tennessee are:

What cities in Tennessee are hiring for Remote Autonomous Systems jobs?

Cities in Tennessee with the most Remote Autonomous Systems job openings:

Remote Autonomous Systems jobs near you
Infographic showing various Remote Autonomous Systems job openings in Tennessee as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Artificial Intelligence (AI) Engineer / Developer (Remote)

Cookeville, TN • On-site, Remote

Statheros
See more jobs at Statherosexternal

Contractor

Re-posted 26 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.
Employment Type: CONTRACTOR

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