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Remote Rva Air Traffic Control Jobs in Tennessee

Relativity

Software Engineer

Nashville, TN · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... These systems enable secure and scalable access to foundation models across the aiR Suite while ...

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Remote Rva Air Traffic Control information

What is the difference between Remote Rva Air Traffic Control vs Remote Rva Air Traffic Control Specialist?

AspectRemote Rva Air Traffic ControlRemote Rva Air Traffic Control Specialist
CertificationsFAA Air Traffic Control Tower CertificationFAA Air Traffic Control Tower Certification
Work EnvironmentRemote, primarily administrative and coordination tasksRemote, operational and communication-focused
Employer & IndustryFAA, airports, aviation agenciesFAA, aviation service providers

Remote Rva Air Traffic Control involves overseeing air traffic operations remotely, focusing on coordination and communication. Remote Rva Air Traffic Control Specialist typically performs operational duties, including monitoring and managing air traffic data. Both roles require FAA certification and are integral to aviation safety, but they differ mainly in their specific responsibilities and focus areas.

What are the most commonly searched types of Rva Air Traffic Control jobs in Tennessee? The most popular types of Rva Air Traffic Control jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Rva Air Traffic Control jobs? Cities in Tennessee with the most Remote Rva Air Traffic Control job openings:
Remote Rva Air Traffic Control jobs near you

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

Cookeville, TN • On-site, Remote

Contractor

Posted 29 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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