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Edge Ai Machine Learning Jobs in Colorado (NOW HIRING)

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Machine Learning Engineer

Aurora, CO · On-site

$120 - $180/hr

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ... Knowledge of edge computing and model optimization for deployment PLUG IN to CYMERTEK - And design ...

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise ...

... of cutting-edge machine learning methodologies. Role Responsibilities: Strategic Leadership and ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer II. We are looking for an experienced software engineer with machine learning ...

Senior Applied AI/ML Scientist

Denver, CO · On-site

$180K - $225K/yr

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Senior Applied AI/ML ... Help develop and productionize machine learning (ML) solutions leveraging our customized models in ...

Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Job Number: R0246351 Machine Learning Engineer The Opportunity: As a programmer, you know that ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are popular job titles related to Edge Ai Machine Learning jobs in Colorado?

For Edge Ai Machine Learning jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Edge Ai Machine Learning jobs?

Cities in Colorado with the most Edge Ai Machine Learning job openings:

Infographic showing various Edge Ai Machine Learning job openings in Colorado as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Louisville, CO • On-site, Remote

Full-time

Posted 4 days ago


Job description

AMP is applying AI-powered sortation at scale to modernize the world's recycling infrastructure and maximize the value in waste. AMP gives waste and recycling leaders the power to harness AI to reduce labor costs, increase resource recovery, and deliver more reliable operations. With hundreds of deployments across North America, Asia, and Europe, AMP's technology offers a transformational solution to waste sortation and changes the fundamental economics of recycling.

Headquartered in Louisville, Colorado, the Denver Post and BuiltIn Colorado have recognized AMP as one of the state's top workplaces. AMP has operations and career opportunities outside of Atlanta, Cleveland, Portsmouth, Virginia, and Europe. We're fostering an environment where passionate individuals can grow and create impact. We seek unconventional thinkers to join our mission to enable a world without waste; at AMP, your contributions have meaning and can spur change. With backing from top-tier investors and national recognition including North American Cleantech Company of the Year, we're always seeking ways to better our operations, raising the bar on innovation, and looking to collaborate and improve in what we do. Learn more at AMPSortation.com.

AMP Robotics is hiring a Machine Learning Engineer reporting to the Engineering Manager of Perception to focus on developing our deep learning and other machine learning models and shipping them to production. AMP doesn't just do machine learning, we are driven forward by it. Our core technology revolves around deep-learned models applied to robotics domains, and we are always striving to improve our performance. In pursuit of this, AMP is looking for a highly skilled individual to join our machine learning team and aid in building out cutting edge computer vision technology. In this role, you would be an individual contributor on our perception team, working on deep learning and computer vision research and development projects to help us implement state of the art deep learning techniques, and helping to develop new applications by working hands-on with data, modeling, and evaluation. You would aid in bringing models from ideation all the way through to production, and help us to maintain our technological edge.

As our Machine Learning Engineer, you will work to:

  • Experiment with modern neural network architectures or techniques driven by research publications.
  • Design and implement machine learning perception solutions in new domains.
  • Design and execute experiments to validate R&D deep learning approaches.
  • When experiments have positive results, design a path to production to deliver impact to our facilities.
  • Collaborate with AI Data Team project managers, ML modeling engineers, and Cloud infrastructure engineers.
  • Serve as a subject matter expert for experiment design and statistical modeling for the Software organization, applying these skills to non deep learning projects when relevant.
  • Help us support and improve our ML infrastructure.

The successful candidate will have:

Required:

  • Master's degree in Computer Science/Machine Learning or similar, or equivalent combination of technical education and work experience.
  • 3+ years' experience writing production-level code in python.
  • 3+ years of experience implementing statistical models in production environments.
  • Proficiency with professional software engineering practices; including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Strong familiarity with PyTorch.
  • Strong familiarity with experiment design and experiment execution.
  • Research fluency with a deep learning domain.

Preferred:

  • 3+ years of experience with deep learning, particularly computer vision.
  • Proficiency with neural network quantization, acceleration, and inference tools, particularly TensorRT.
  • Familiarity and interest in research-level mathematics.
  • Proficiency working with SQL databases and data pipelines.
  • Experience deploying large-scale and small-scale models in low-latency environments.
  • Startup ready mentality.
  • Passion for recycling, robotics and changing the world.

Working Conditions/Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at a time.

Remote or Hybrid:

  • Full-remote with regular travel to AMP's Louisville CO HQ or
  • Hybrid or full time in-office at AMP's Louisville CO HQ

AMP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Applicants who identify with a historically underrepresented group are encouraged to apply. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Other duties:

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

We recognize that there is more to work than the day-to-day responsibilities. In addition to a collaborative, high-performing team environment, we're pleased to offer competitive base salaries; medical, dental and vision insurance; a 401(k) plan; paid time off and sick time; flexible work hours; and the opportunity to quickly accelerate your learning and growth.

Salary & Compensation information: $162,000 to $170,000

Benefits information:

  • Medical - The company covers up 78% to 100% of the premium for Cigna healthcare plans depending on the selection. Employees pay the difference in premium if they select a more expensive plan. Up to 75% for dependents.
  • Dental, Vision, Short- and Long-Term Disability.
  • 401(k) retirement plan (non-matching).
  • Flexible Time Off
  • 6 paid sick days.
  • Eight (8) paid holidays