Soft Skills : * Excellent problem-solving skills and the ability to work in a collaborative, fast ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.
Soft Skills : * Excellent problem-solving skills and the ability to work in a collaborative, fast ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.
Remote Soft Robotics information
What is the difference between Remote Soft Robotics vs Remote Robotics Engineer?
| Aspect | Remote Soft Robotics | Remote Robotics Engineer |
|---|---|---|
| Required Credentials | Background in soft materials, robotics, or mechanical engineering; often a degree in related fields | Degree in robotics, electrical, or mechanical engineering; certifications in robotics or automation |
| Work Environment | Designing and testing soft robotic systems remotely, often in research or development settings | Developing, programming, and troubleshooting robotic systems remotely, typically in engineering teams |
| Industry Usage | Primarily in research, healthcare, and specialized automation sectors | Manufacturing, automation, and industrial sectors |
Remote Soft Robotics focuses on designing and developing soft robotic systems, often requiring expertise in materials and mechanical design. Remote Robotics Engineers work on programming, testing, and maintaining robotic systems across various industries. While both roles involve remote work and robotics knowledge, their focus areas and skill sets differ, with soft robotics emphasizing materials and design, and engineering emphasizing programming and system integration.
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Contractor
Posted 9 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
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.
- 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.
- 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
- 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.