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Remote Accelerate Learning Jobs in Tennessee (NOW HIRING)

Marketing Communications Manager

Nashville, TN · On-site +1

$110K - $135K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... Drive continuous improvement through learning and application of the Danaher Business System (DBS ...

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Remote Accelerate Learning information

What is the difference between Remote Accelerate Learning vs Remote Learning Coordinator?

AspectRemote Accelerate LearningRemote Learning Coordinator
Required CredentialsTypically requires a degree in education, training, or related field; certifications in instructional design or e-learning are commonUsually requires a degree in education, communication, or related field; certifications in curriculum development or online teaching are beneficial
Work EnvironmentPrimarily online, involving content development, training sessions, and learner engagementPrimarily online, coordinating learning programs, managing schedules, and supporting learners
Employer & Industry UsageUsed by educational institutions, corporate training companies, and e-learning platformsUsed by schools, universities, and corporate training departments

Remote Accelerate Learning focuses on developing and delivering educational content and training programs, often involving content creation and instructional design. In contrast, a Remote Learning Coordinator manages the logistics, schedules, and support for online learning programs. Both roles require similar credentials and work in online environments, but their core responsibilities differ in content development versus program coordination.

What job categories do people searching Remote Accelerate Learning jobs in Tennessee look for? The top searched job categories for Remote Accelerate Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Accelerate Learning jobs? Cities in Tennessee with the most Remote Accelerate Learning job openings:

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

Cookeville, TN • On-site, Remote

Contractor

Posted 22 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