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Postdoctoral In Reinforcement Learning Jobs in Colorado

Toyon

Deep Learning Algorithm Developer

Fort Collins, CO · On-site

$100K - $190K/yr

Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired for current openings. Our researchers apply AI/ML techniques to develop data processing ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers). * Working knowledge of Agile ...

Sierra Nevada Corporation

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience with reinforcement learning or generative AI models (e.g., GANs, Transformers). * Working knowledge of Agile ...

AppFolio

CO

Reinforcement Learning for Agent Policies: Build the data and feedback loops needed to enable Reinforcement Learning over agent action policies in the partially observable, high-stakes property ...

Vantor

Staff Applied AI Engineer

Westminster, CO · On-site

... reinforcement learning • Background in decision science or economics • Experience with simulation environments • Familiarity with geospatial or satellite systems • Experience in mission ...

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic)

Sierra Nevada Corporation

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic)

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
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What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Colorado look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Colorado are:
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Postdoctoral In Reinforcement Learning jobs near you
Deep Learning Algorithm Developer

Deep Learning Algorithm Developer

Toyon Research Corporation

Fort Collins, CO • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Toyon Research Corporation is seeking a Deep Learning Algorithm Developer to tackle real-world challenges using Artificial Intelligence and Machine Learning techniques. The role involves applying AI/ML approaches to various applications, including remote sensing and video-based tracking.
Qualifications:
Required:
• U.S. Citizenship is Required.
• Ability to qualify for a US Department of Defense security clearance required.
• Experience with PyTorch, TensorFlow, or other deep learning frameworks is required.
• Candidates should have a strong background in engineering, computer science, physics, and/or mathematics.
• An advanced degree (M.S./Ph.D.) or a Bachelor’s degree and at least two years of industry experience are strongly desired.
Preferred:
• Experience in Reinforcement Learning (RL), Computer Vision, or Natural Language Processing (NLP) is desired.
Company:
Toyon Research Corporation is a defense & space company that provides missile, antennas, and RF systems. Founded in 1980, the company is headquartered in Goleta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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