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Postdoctoral In Reinforcement Learning Jobs in Denver, CO

Staff AI/ML Engineer

Aurora, CO · On-site

$98K - $206K/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 ...

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

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

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 ...

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 ...

... in AI/ML or related fields, or 16+ years without a degree. *Demonstrated mastery of deep learning, reinforcement learning, generative models, and large-scale AI/ML system architecture. *Proven ...

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.

Showing results 21-40

Postdoctoral In Reinforcement Learning information

See Denver, CO salary details

$25.7K

$60.8K

$85.9K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for postdoctoral in reinforcement learning in Denver, CO is $60,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $68,400.00 per year, depending on experience, location, and employer.

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?

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.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Denver, CO? For Postdoctoral In Reinforcement Learning jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Denver, CO look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Denver, CO are:

$98K - $206K/yr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Job description

Job Title: Staff AI/ML Engineer
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
Anticipated Posting End: 12/2/2026
The Opportunity:
This position is for a Staff AI/ML Engineer looking for new challenging problems. You should have experience working in research teams prototyping and developing AI/ML algorithms. You will support the development of AI/ML algorithms in a multitude of disciplines including object detection/classification, natural language processing, time series prediction/classification, reinforcement learning, and large language models.
Responsibilities:
  • Implement machine learning algorithms as part of a small interdisciplinary team
  • Analyze large multi-domain datasets including images, text, time series, and graph data
  • Review and apply cutting-edge research publications
  • Create technical documentation and user guides
  • Understand training and deployment pipelines including AWS services
  • Provide training and mentoring to team members

Qualifications:
Required:
  • Active TS/SCI Clearance
  • B.S. in machine learning, computer science, mathematics, or related field
  • 8+ years of AI/ML development experience
  • Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy, Polars
  • Experience with supervised and unsupervised learning
  • Experience with deep learning architectures
  • Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)

Desired:
  • M.S. or PhD in relevant technical field
  • Experience leading interdisciplinary teams
  • Experience with MCP, Microsoft Agent Framework, HuggingFace, LangChain, OpenCV
  • Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix)
  • 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 application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
  • Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$98,500-$206,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.