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Remote Robotics Research Jobs in Ohio (NOW HIRING)

Statheros

Stay up-to-date with the latest research and advancements in reinforcement learning and apply them ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.

AKKA Technologies

... research and development market, aiming to accelerate innovation and digital transformation by ... services, robotics, testing, simulations, data security, artificial intelligence, and data ...

Capgemini

Service Delivery Manager (SDM)

Cincinnati, OH · On-site +1

$103K - $242K/yr

From autonomous cars to life-saving robots, our digital and software technology experts think ... Cincinnati, remote work permitted with travel. Your Role: * Own end-to-end ADM delivery for PLM ...

Copeland

Senior Advanced Manufacturing Engineer

Sidney, OH · On-site +1

$84K - $115K/yr

You will research and monitor advanced manufacturing technology trends and appropriately integrate ... Experience programming and working with industrial robots * Experience with Siemens NX 3D modeling.

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Remote Robotics Research information

What are the key skills and qualifications needed to thrive as a Remote Robotics Researcher, and why are they important?

To thrive as a Remote Robotics Researcher, you need a strong background in robotics, computer science, and engineering, often supported by an advanced degree (Master's or PhD) in a related field. Familiarity with programming languages (such as Python or C++), robotics operating systems (like ROS), and simulation tools (e.g., Gazebo, MATLAB) is typically required. Exceptional problem-solving, independent research skills, and effective virtual communication help you excel in remote, collaborative environments. These competencies are crucial for advancing robotics innovation while efficiently contributing to distributed research teams.

What are some common challenges faced by professionals in remote robotics research, and how are they typically addressed?

One common challenge in remote robotics research is effective collaboration across distributed teams, especially when working in different time zones. Researchers often rely heavily on digital communication tools and version control systems to coordinate experiments, share results, and troubleshoot issues in real-time. Another challenge is accessing and managing physical robotics hardware remotely, which is often addressed by using simulation environments and remote access protocols. Successful professionals in this field develop strong communication skills, adaptability, and familiarity with remote testing platforms to overcome these hurdles.

What is remote robotics research?

Remote robotics research involves studying and developing robotic systems and technologies from a location that is not physically on-site, often using digital communication tools and remote access to hardware or simulations. Researchers in this field might design algorithms, run simulations, or control robots over the internet to test new ideas. This approach enables collaboration across different regions and can reduce costs associated with travel and physical infrastructure. It also allows researchers to work with advanced robotics platforms that may be located in specialized labs or facilities around the world.
What are the most commonly searched types of Robotics Research jobs in Ohio? The most popular types of Robotics Research jobs in Ohio are:
What are popular job titles related to Remote Robotics Research jobs in Ohio? For Remote Robotics Research jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Research jobs in Ohio look for? The top searched job categories for Remote Robotics Research jobs in Ohio are:
What cities in Ohio are hiring for Remote Robotics Research jobs? Cities in Ohio with the most Remote Robotics Research job openings:
Remote Robotics Research jobs near you

Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

On-site, Remote

Contractor

Posted 28 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.

Apply