Pensacola, FL ยท On-site
$14.25 - $19/hr
Reinforcement Learning Engineering Intern Location: Downtown Pensacola, FL Type: Full-time Internship, 40 hours/week About the Internship The Reinforcement Learning Engineering Internship is an ...
Pensacola, FL ยท On-site
$14.25 - $19/hr
Reinforcement Learning Engineering Intern Location: Downtown Pensacola, FL Type: Full-time Internship, 40 hours/week About the Internship The Reinforcement Learning Engineering Internship is an ...
Design and run reinforcement learning and imitation learning pipelines using simulationgenerated and synthetic data. * Train and tune policies for control, planning, and decisionmaking, emphasizing ...
Design and run reinforcement learning and imitation learning pipelines using simulationgenerated and synthetic data. * Train and tune policies for control, planning, and decisionmaking, emphasizing ...
This role is tailored for an AI Robotics Engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through ...
This role is tailored for an AI Robotics Engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through ...
Jupiter, FL ยท On-site
Familiarity with AI use cases (classification, reinforcement learning, and LLMs) is desirable. Key Responsibilities: * Plan and conduct user research (interviews, contextual inquiries, surveys ...
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Jupiter, FL ยท On-site
Familiarity with AI use cases (classification, reinforcement learning, and LLMs) is desirable. Key Responsibilities: * Plan and conduct user research (interviews, contextual inquiries, surveys ...
Tampa, FL ยท On-site
The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be ...
Tampa, FL ยท On-site
The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be ...
Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities. * Design and implement new algorithms and ...
Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities. * Design and implement new algorithms and ...
Boca Raton, FL ยท On-site
Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities. * Design and implement new algorithms and ...
Boca Raton, FL ยท On-site
Conduct research in large language models, generative AI, reinforcement learning, and AI agents, with a focus on advancing state-of-the-art capabilities. * Design and implement new algorithms and ...
Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.). * Understanding of the ...
Strong understanding of the state of the art research in robot learning (behavior cloning for manipulation, reinforcement learning for locomotion, world models, etc.). * Understanding of the ...
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
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Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or ...
Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs)
Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs)
Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs)
Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs)
Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning * Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems ...
Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning * Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems ...
Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning * Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems ...
Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning * Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems ...
Topics covered will include Fuzzy Logic, Expert Systems, Neural Networks, Cognitive Sciences, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Clustering, Regression, and ...
Topics covered will include Fuzzy Logic, Expert Systems, Neural Networks, Cognitive Sciences, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Clustering, Regression, and ...
$46K - $63K/yr
Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. * Facilitate strategic ...
$46K - $63K/yr
Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. * Facilitate strategic ...
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Optimize agent behavior through feedback loops, reinforcement learning, or user interaction. * Engineer and manage context for agents to ensure they access the right information at the right time.
Coral Gables, FL ยท On-site
$46K - $63K/yr
Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. * Facilitate strategic ...
Coral Gables, FL ยท On-site
$46K - $63K/yr
Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. * Facilitate strategic ...
$104K - $169K/yr
... and reinforcement learning). Mentors and trains junior and professional staff members. Data scientist lead for the Sight Outcomes Research Collaborative (SOURCE), a consortium of academic ...
$104K - $169K/yr
... and reinforcement learning). Mentors and trains junior and professional staff members. Data scientist lead for the Sight Outcomes Research Collaborative (SOURCE), a consortium of academic ...
$21.3K - $24.8K
2% of jobs
$24.8K - $28.3K
3% of jobs
$28.3K - $31.8K
6% of jobs
$31.8K - $35.3K
3% of jobs
$38.4K is the 25th percentile. Wages below this are outliers.
$35.3K - $38.8K
12% of jobs
The median wage is $42.1K / yr.
$38.8K - $42.3K
25% of jobs
$42.3K - $45.8K
12% of jobs
$45.8K - $49.3K
9% of jobs
$50K is the 75th percentile. Wages above this are outliers.
$49.3K - $52.8K
12% of jobs
$52.8K - $56.3K
11% of jobs
$56.3K - $59.8K
5% of jobs
$21.3K
$43.6K
$59.8K
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.
