... Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH ... in machine learning, data science, or backend software development. • Hands-on experience ...
... Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH ... in machine learning, data science, or backend software development. • Hands-on experience ...
Machine Learning Engineer
Aurora, CO · On-site
Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...
Machine Learning Engineer
Aurora, CO · On-site
Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...
Visit our website at: www.dcca.com Machine Learning - All Levels Candidate must have an active TS ... Final salary will be determined based on various factors. Our comprehensive benefit offerings ...
Visit our website at: www.dcca.com Machine Learning - All Levels Candidate must have an active TS ... Final salary will be determined based on various factors. Our comprehensive benefit offerings ...
Machine Learning Engineer
Colorado Springs, CO · On-site
$100K - $160K/yr
Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...
Quick apply
Machine Learning Engineer
Colorado Springs, CO · On-site
$100K - $160K/yr
Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Our employees have the flexibility to choose where they do their best work--whether it's from home ... For US based candidates, the base pay ranges for a successful candidate are listed below.
Principal Machine Learning Engineer
Denver, CO · On-site
$228K - $253K/yr
Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Not based in one of these areas? We will offer a relocation bonus to help make your move to the ...
Principal Machine Learning Engineer
Denver, CO · On-site
$228K - $253K/yr
Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Not based in one of these areas? We will offer a relocation bonus to help make your move to the ...
Chile Based, Machine Learning Engineer
Denver, CO · On-site
$145K - $195K/yr
Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection ...
Chile Based, Machine Learning Engineer
Denver, CO · On-site
$145K - $195K/yr
Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one who trains it. At Blissway, we process 11 million images every single day, running detection ...
NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac ... You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold ...
NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac ... You will grow and mentor a team of world-class robotics and machine-learning engineers, set a bold ...
Study and develop state of the art techniques in deep learning, machine learning, and perform in ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
Study and develop state of the art techniques in deep learning, machine learning, and perform in ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
Home Based Nvidia Machine Learning information
What are the most commonly searched types of Nvidia Machine Learning jobs in Colorado? The most popular types of Nvidia Machine Learning jobs in Colorado are:
What are popular job titles related to Home Based Nvidia Machine Learning jobs in Colorado? For Home Based Nvidia Machine Learning jobs in Colorado, the most frequently searched job titles are:
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Full-time
Re-posted 16 days ago
Job description
Job Summary:
nou Systems, Inc. is a 100% ESOP company focused on solving challenging defense problems. They are seeking a Machine Learning Engineer to design, develop, and deploy machine learning capabilities for defense applications, collaborating with teams to transition ML concepts into practical solutions.
Responsibilities:
• Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
• Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
• Help identify, prepare, and validate training and evaluation datasets.
• Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
• Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
• Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
• Communicate technical results clearly through written documentation, presentations, and team discussions.
• Support multiple project teams and help translate ML concepts into practical engineering solutions.
Qualifications:
Required:
• Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
• 3+ years of professional experience in machine learning, data science, or backend software development.
• Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
• Professional experience building backend software, data pipelines, APIs, or system integration components.
• U.S. citizenship and the ability to obtain a Secret security clearance.
Preferred:
• Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
• Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
• Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
• Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
• Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
• Experience with RL development using Gymnasium and Ray RLlib.
• Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
• Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.
Company:
no Systems is a consultant offering engineering and technical services to the government in Huntsville, Alabama. Founded in 2011, the company is headquartered in Huntsville, USA, with a team of 201-500 employees. The company is currently Growth Stage.
nou Systems, Inc. is a 100% ESOP company focused on solving challenging defense problems. They are seeking a Machine Learning Engineer to design, develop, and deploy machine learning capabilities for defense applications, collaborating with teams to transition ML concepts into practical solutions.
Responsibilities:
• Develop, train, evaluate, and analyze machine learning models using Python and PyTorch, writing modular, maintainable, and testable code.
• Build backend software components that support ML workflows, data processing, model evaluation, and system integration.
• Help identify, prepare, and validate training and evaluation datasets.
• Implement and adapt ML methods from open literature, including supervised learning and deep learning approaches.
• Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote-SSH, Docker/Podman, and contribute to continuous improvement of development processes.
• Use GitLab-based workflows for source control, issue tracking, merge requests, code review, and collaboration.
• Communicate technical results clearly through written documentation, presentations, and team discussions.
• Support multiple project teams and help translate ML concepts into practical engineering solutions.
Qualifications:
Required:
• Bachelor’s degree in computer science, mathematics, software engineering, data science, or a closely related technical field.
• 3+ years of professional experience in machine learning, data science, or backend software development.
• Hands-on experience developing, training, or evaluating deep learning models using PyTorch.
• Professional experience building backend software, data pipelines, APIs, or system integration components.
• U.S. citizenship and the ability to obtain a Secret security clearance.
Preferred:
• Strong communication skills, intellectual curiosity, and comfort working across ML, software, and mission-domain teams. Our work often requires creative, multidisciplinary approaches.
• Understanding of core ML and statistical concepts (bias-variance tradeoff, data mismatch, sample sufficiency)
• Comfort with self-direction. You'll work with our top technical talent, but we're looking for evidence you can diagnose a problem and approach it strategically.
• Experience with Docker, Podman, or similar containerization tools, including editing Dockerfiles or container configuration.
• Experience with ML tools (MLflow, Optuna, or PyTorch Lightning)
• Experience with RL development using Gymnasium and Ray RLlib.
• Experience with LLMs, generative AI tools, vector databases, or frameworks such as LangChain or LlamaIndex.
• Familiarity with CI/CD pipelines, Kubernetes, DevSecOps practices, secure artifact repositories, or deployment in restricted DoD environments.
Company:
no Systems is a consultant offering engineering and technical services to the government in Huntsville, Alabama. Founded in 2011, the company is headquartered in Huntsville, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About nou Systems
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
51 - 200 Employees
Headquarters location
Huntsville, AL, US
Year founded
2011