1

Computer Vision Engineer Jobs in Denver, CO (NOW HIRING)

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Computer vision * Embedded or real-time platforms * Expertise with: * MLOps platforms and ML ... engineering standards * Validation and verification frameworks * Data management and governance

Lead Hardware Engineer

Boulder, CO · On-site

$128K - $169K/yr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

Lead Hardware Engineer

Boulder, CO · On-site

$130K - $171K/yr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... Anduril Imaging Hardware Lead Engineers are responsible for hardware architecture, development ...

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Develop and integrate signal processing and computer vision modules to enhance perception and ...

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

The AI/ML Engineer II is a mid-level position for individuals with professional experience in ... Develop and integrate signal processing and computer vision modules to enhance perception and ...

Cymertek Corporation is seeking a passionate and innovative AI/ML Engineer to join their team and ... in computer vision techniques • Understanding of emerging AI/ML trends Company : With ...

Showing results 41-60

Computer Vision Engineer information

See Denver, CO salary details

$49.9K

$125.1K

$141.5K

How much do computer vision engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer vision engineer in Denver, CO is $125,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Denver, CO?

The most popular types of Computer Vision Engineer jobs in Denver, CO are:

What are popular job titles related to Computer Vision Engineer jobs in Denver, CO?

For Computer Vision Engineer jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer jobs in Denver, CO look for?

The top searched job categories for Computer Vision Engineer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Computer Vision Engineer jobs?

Cities near Denver, CO with the most Computer Vision Engineer job openings:

Infographic showing various Computer Vision Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 78% In-person, 6% Hybrid, and 16% Remote job distribution, with an average salary of $125,073 per year, or $60.1 per hour.

Principal AI/ML Engineer (Large Language Model) with Security Clearance

CACI

Aurora, CO • On-site

Other

Medical, Retirement, PTO

Re-posted 15 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.