S

Artificial Intelligence; AI Engineer​/Developer; Remote

Statherosvia Learn4Good
RemotoRemotoSêniorCLT2 dias atrás

Salário Estimado

R$ 7.500,00 - R$ 10.833,00

Tecnologias

PythonGoRustMachine LearningIAPyTorch
0de 100

Excelente

Score da Vaga

Descrição da Vaga

Position: Artificial Intelligence (AI) Engineer / Developer (Remote) 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 Tensor Flow, 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. #J-18808-Ljbffr

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ContratoCLT
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RemotoSim
MoedaBRL
Publicada2 dias atrás
FonteLearn4Good

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