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Postdoctoral In Reinforcement Learning Jobs in Colorado

Cymertek Corporation

AI/ML Engineer

Aurora, CO · On-site

... Expertise in supervised and unsupervised learning • Familiarity with cloud-based AI tools • Skill in debugging and testing AI models Preferred : • Knowledge of reinforcement learning • ...

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience * Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc. * Experience in ...

ARKA Group

Staff AI/ML Engineer (TS/SCI) {S}

Aurora, CO · On-site

$155K - $200K/yr

Experience with LLMs, Transformers, YOLO, GANs, Reinforcement Learning * Linux and AWS experience * Experience with CUDA and Python libraries such as CuPy, Numba, CuSignal, CuDF, etc. * Experience in ...

CACI

AI/ML Engineer with Security Clearance

Aurora, CO · On-site

You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

You will support the development of AI/ML algorithms in a multitude of disciplines from object detection/classification, natural language processing, reinforcement learning, and large language models.

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Postdoctoral In Reinforcement Learning information

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.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?

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 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.

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Postdoctoral In Reinforcement Learning jobs near you
Infographic showing various Postdoctoral In Reinforcement Learning job openings in Colorado as of June 2026, with employment types broken down into 61% Full Time, 29% Part Time, 5% Contract, and 5% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI/ML Engineer

Cymertek Corporation

Aurora, CO • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role, you will design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes.
Responsibilities:
• Proven ability to design AI/ML models
• Experience integrating AI systems
• Strong foundation in algorithm development
• Familiarity with model optimization methods
• Proficiency in deploying models at scale
• Understanding of AI ethics and compliance
Qualifications:
Required:
• Bachelor's Degree
• Proven ability to design AI/ML models
• Experience integrating AI systems
• Strong foundation in algorithm development
• Familiarity with model optimization methods
• Proficiency in deploying models at scale
• Understanding of AI ethics and compliance
• Proficiency in programming (e.g., Python)
• Knowledge of ML frameworks (e.g., TensorFlow)
• Ability to preprocess and analyze datasets
• Expertise in supervised and unsupervised learning
• Familiarity with cloud-based AI tools
• Skill in debugging and testing AI models
Preferred:
• Knowledge of reinforcement learning
• Familiarity with generative AI models
• Experience in edge AI implementation
• Expertise in natural language processing
• Proficiency in computer vision techniques
• Understanding of emerging AI/ML trends
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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