Bethesda, MD · On-site
$58.50 - $76/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Bethesda, MD · On-site
$58.50 - $76/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Bethesda, MD · On-site
$58.50 - $75.75/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Bethesda, MD · On-site
$58.50 - $75.75/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Bethesda, MD · On-site
$58.50 - $75.75/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Bethesda, MD · On-site
$58.50 - $75.75/hr
This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Position Overview:
Build AI agents, evaluation systems, training workflows, and reinforcement learning environments. * Lead applied AI projects from problem discovery through prototype, deployment, and iteration.
Quick apply
Build AI agents, evaluation systems, training workflows, and reinforcement learning environments. * Lead applied AI projects from problem discovery through prototype, deployment, and iteration.
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Washington, DC · On-site
$140K - $300K/hr
Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...
Quick apply
Washington, DC · On-site
$140K - $300K/hr
Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...
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.
Mclean, VA · On-site
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.
Mclean, VA · On-site
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.
Reston, VA · On-site
Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. * Experience with data processing tools like Pandas ...
Reston, VA · On-site
Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. * Experience with data processing tools like Pandas ...
Herndon, VA · On-site
$107K - $147K/yr
Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...
New
Herndon, VA · On-site
$107K - $147K/yr
Design and prototype MPC-aligned models incorporating predictive modeling, optimization, and reinforcement-learning-based control. * Develop signal processing, perception, and planning pipelines ...
New
Washington, DC · On-site
$140K - $300K/yr
Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...
Washington, DC · On-site
$140K - $300K/yr
Experience in applied ML, AI systems, reinforcement learning, or product engineering. * Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement. * Strong ...
... SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc Preferred : • Experience working in defense tech and/or an AI company • A ...
... SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc Preferred : • Experience working in defense tech and/or an AI company • A ...
... SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc Preferred : • Experience working in defense tech and/or an AI company • A ...
... SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc Preferred : • Experience working in defense tech and/or an AI company • A ...
Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) * Good understanding and experience working with Natural Language Processing ...
Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) * Good understanding and experience working with Natural Language Processing ...
Herndon, VA · On-site
$124K - $168K/yr
Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
Quick apply
Herndon, VA · On-site
$124K - $168K/yr
Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
$29.6K - $34.5K
2% of jobs
$34.5K - $39.4K
3% of jobs
$39.4K - $44.3K
6% of jobs
$44.3K - $49.1K
3% of jobs
$53.5K is the 25th percentile. Wages below this are outliers.
$49.1K - $54K
12% of jobs
The median wage is $58.6K / yr.
$54K - $58.9K
25% of jobs
$58.9K - $63.7K
12% of jobs
$63.7K - $68.6K
9% of jobs
$69.6K is the 75th percentile. Wages above this are outliers.
$68.6K - $73.5K
12% of jobs
$73.5K - $78.4K
11% of jobs
$78.4K - $83.2K
5% of jobs
$29.6K
$60.7K
$83.2K
A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.
To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.
A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.
Bethesda, MD • On-site
$58.50 - $76/hr
Other
Re-posted 8 days ago
Sourced by ZipRecruiter
Guided missile and space vehicle manufacturing
11 - 50 Employees
McLean, VA, US
2017
