Reinforcement Learning Jobs in Washington, DC (NOW HIRING)

This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good.

Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...

Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...

As a Reinforcement Learning Engineer for Autonomous Systems, you will: * Design, implement, and train reinforcement learning (RL) agents for complex, multi-agent collaborative and competitive tasks ...

As a Reinforcement Learning Engineer for Autonomous Systems, you will: * Design, implement, and train reinforcement learning (RL) agents for complex, multi-agent collaborative and competitive tasks ...

Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...

Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...

Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...

Develop Physical AI applications using machine learning and reinforcement learning. * Research and develop Foundational model training for Vision-Language Models (VLMs) and Vision-Language Action ...

Conduct original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning. Design, implement, and evaluate novel AI ...

Job Summary We are looking for a Reinforcement Learning Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient.

Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning. * Conduct research and experiments to explore new AI techniques and ...

You will put reinforcement learning and optimization to work on problems that decide how a fleet of plants gets built: how to sequence construction across many sites, where to place capital under ...

... reinforcement learning from human feedback (RLHF) • Experience building chatbots, copilots, or AI assistants • Experience with knowledge graphs • Familiarity with Kubernetes and ...