Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Principal AI/ML Engineer (Large Language Model) (TS/SCI) {S} with Security Clearance
Aurora, CO · Remote
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines * Applying ... Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.
Software Algorithm Engineer with Security Clearance
Aurora, CO · On-site +1
$82K - $172K/yr
... Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.) * Experience developing modeling and simulation environments or developing OpenAI Gym environments for Reinforcement Learning ...
Software Algorithm Engineer with Security Clearance
Aurora, CO · On-site +1
$82K - $172K/yr
... Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.) * Experience developing modeling and simulation environments or developing OpenAI Gym environments for Reinforcement Learning ...
Sr. Staff AI/ML Engineer
Denver, CO · On-site +1
$245K - $272K/yr
LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning. * Hands-on ... remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are ...
Sr. Staff AI/ML Engineer
Denver, CO · On-site +1
$245K - $272K/yr
LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning. * Hands-on ... remote locations, and $288,000-321,000 for San Francisco & New York. Final offer amounts are ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Customer Production Trainer-Print Industry
Centennial, CO · On-site +1
$54K - $81K/yr
... pre/post remote training courses on Canon imagePRESS, VarioPrint, and IX systems. -Create ... reinforcement tools for training support. - Attend manufacturer/vendor technical seminars and ...
Remote Reinforcement Learning information
What is a Remote Reinforcement Learning job?
A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.
What are the key skills and qualifications needed to thrive as a Remote Reinforcement Learning Engineer, and why are they important?
To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.
What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?
| Aspect | Remote Reinforcement Learning |
|---|---|
| Required Credentials | Master's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms |
| Work Environment | Research-focused, experimental, often involves simulation and algorithm development |
| Employer & Industry Usage | Tech companies, research labs, AI startups focusing on autonomous systems |
| Common Search & Comparison Intent | Understanding specialized AI roles, research focus, and technical skills |
Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.
What are common challenges faced when working remotely in a Reinforcement Learning role and how can they be addressed?
Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
What are popular job titles related to Remote Reinforcement Learning jobs in Colorado? For Remote Reinforcement Learning jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Colorado look for? The top searched job categories for Remote Reinforcement Learning jobs in Colorado are:
Other
Medical, Retirement, PTO
Posted 18 days ago
Job description
Job Title: Principal AI/ML Engineer (Large Language Model) 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: The Principal AI/ML Engineer 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. Responsibilities: * Lead and mentor a multidisciplined team consisting of developers and researchers to implement machine learning algorithms to solve a broad set of challenges for our various customers
* Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
* Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
* Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
* Build custom applications with LLM frameworks such as LangChain, DSPy
* Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
* Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
* Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
* Interface with both internal and external leadership to communicate technical status Qualifications: Required: * Active TS/SCI Clearance
* BS in machine learning, computer science, mathematics, or related fields.
* 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
* Fine-tuning foundational models
* Steering Techniques (e.g Sparse auto encoders, representation tuning)
* Building adapters to use foundational models (e.g. PEFT, llama factory)
* Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
* Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
* Using LLM Frameworks (e.g. LangChain, DSPy)
* Using AI APIs ( e.g AWS Bedrock, OpenAI)
* Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
* Developing UIs with ReAct
* Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
* Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc. Desired: * MS or PhD in machine learning, computer science, mathematics, or related fields.
* Experience leading an interdisciplinary team of researchers and software developers
* Experience with any of the following Computer Vision domains:
* Large Language Models and experience identifying ways to incorporate them into new areas and applications
* Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
* Object detection algorithms such as YOLO and Faster-RCNN
* Natural Language Processing algorithms such as BERT
* Generative Adversarial Networks and Variational Autoencoders
* Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
* Applying clustering algorithms and/or deep neural networks to real life problems
* Implementing tracking and pattern-of-life algorithms
* Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
* Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
* Experience with Linux
* Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
* Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
* Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
* Experience with implementing tracking and pattern-of-life algorithms
* Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
* Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
* Experience shaping and writing proposals - 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: $114,600-$252,100 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.
* Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as tasking collections, identifying gaps in collection plans, analyzing patterns of life, and more.
* Fine tune foundation models and building adaptors for new applications (llama factory, PEFT)
* Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate)
* Build custom applications with LLM frameworks such as LangChain, DSPy
* Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc)
* Analyze large multi-domain datasets such as images, text and/or graph data, to identify statistically relevant features to build models that provide analysts with actionable data
* Review relevant publications to understand and apply cutting edge concepts to defense and commercial applications
* Interface with both internal and external leadership to communicate technical status Qualifications: Required: * Active TS/SCI Clearance
* BS in machine learning, computer science, mathematics, or related fields.
* 10+ years of experience, preferably in software development or as a data scientist with 2+ years of building LLM applications using some of the following:
* Fine-tuning foundational models
* Steering Techniques (e.g Sparse auto encoders, representation tuning)
* Building adapters to use foundational models (e.g. PEFT, llama factory)
* Prompt engineering techniques / Inference time techniques (e.g. chain of thought, tree of thoughts, etc.)
* Using Retrieval Augmented Generation techniques to populate and query vector databases (e.g. Weaviate, pinecone)
* Using LLM Frameworks (e.g. LangChain, DSPy)
* Using AI APIs ( e.g AWS Bedrock, OpenAI)
* Using LLM deployment frameworks (eg llama.cpp, vllm, tgi)
* Developing UIs with ReAct
* Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers
* Experience with Python and data science / machine learning libraries (e.g. PyTorch, TensorFlow, Keras, OpenCV, NumPy, Pandas, Polars, scikit-learn, etc. Desired: * MS or PhD in machine learning, computer science, mathematics, or related fields.
* Experience leading an interdisciplinary team of researchers and software developers
* Experience with any of the following Computer Vision domains:
* Large Language Models and experience identifying ways to incorporate them into new areas and applications
* Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision
* Object detection algorithms such as YOLO and Faster-RCNN
* Natural Language Processing algorithms such as BERT
* Generative Adversarial Networks and Variational Autoencoders
* Reinforcement learning and familiarity with Gymnasium Gym, RLlib, and Stable Baselines
* Applying clustering algorithms and/or deep neural networks to real life problems
* Implementing tracking and pattern-of-life algorithms
* Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
* Experience with Computer Vision libraries such as OpenCV, Nerfstudio, FiftyOne, etc.
* Experience with Linux
* Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.
* Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#
* Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries
* Experience with implementing tracking and pattern-of-life algorithms
* Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher)
* Experience working with various Remote Sensing datasets (e.g. EO/OPIR/SAR images, passive RF, etc.)
* Experience shaping and writing proposals - 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: $114,600-$252,100 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.