Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills : * Strong ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.
Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills : * Strong ... Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.
Director, AI Engineering - Remote
Brentwood, TN · On-site +1
This is a Full Time, remote Director, AI Engineering role. What You'll Do * Define and lead the ... RPA technologies. * Establish governance frameworks for responsible AI, including ethical AI ...
Director, AI Engineering - Remote
Brentwood, TN · On-site +1
This is a Full Time, remote Director, AI Engineering role. What You'll Do * Define and lead the ... RPA technologies. * Establish governance frameworks for responsible AI, including ethical AI ...
Robot Framework Remote information
What is a Robot Framework Remote?
What are the key skills and qualifications needed to thrive as a Robot Framework Remote automation engineer?
What are some common challenges faced when working remotely as a Robot Framework automation engineer, and how can they be addressed?
What is the difference between Robot Framework Remote vs Test Automation Engineer?
| Aspect | Robot Framework Remote | Test Automation Engineer |
|---|---|---|
| Required Credentials | Knowledge of Robot Framework, scripting skills | Programming skills, testing certifications often preferred |
| Work Environment | Remote, automation testing teams | Remote or on-site, software testing teams |
| Industry Usage | Automation testing projects, QA teams | Software development, QA, testing projects |
| Search & Comparison Intent | Focus on automation tools, remote work | Broader testing roles, automation skills |
Robot Framework Remote roles focus on using the Robot Framework for automation testing in a remote setting, requiring specific knowledge of the tool. Test Automation Engineers have a broader scope, often involving multiple tools and programming languages, and may work on-site or remotely. Both roles are essential in QA teams but differ in scope and skill requirements.
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Contractor
Re-posted 19 days ago
Job description
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.