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

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

You are the engineer who ships the model, not just the one who trains it. At Blissway, we process ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

You are the engineer who ships the model, not just the one who trains it. At Blissway, we process ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

Blissway Inc.

Machine Learning Engineer

Denver, CO · On-site

$120 - $180/hr

You are the engineer who ships the model, not just the one who trains it. At Blissway, we process ... Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained ...

Sierra Nevada Corporation

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 ...

Slope

Lead Hardware Engineer

Boulder, CO · On-site

$165 - $218/hr

The team is heavily involved in utilizing computer vision, perception, electro‑optical, infrared ... ABOUT THE JOB As the Lead Hardware Engineer for our ladar product line, you will be responsible for ...

Anduril Industries

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 ...

Sierra Nevada Corporation

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

AI/ML Engineer

Aurora, CO · On-site

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 ...

Anduril Industries

Senior Systems Engineer

Boulder, CO · On-site

$143K - $191K/yr

The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared ... ABOUT THE JOB We are seeking a hands-on Systems Engineer to join our team as we transition a Ladar ...

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Showing results 41-60

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Denver, CO

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 Sep 7, 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.

More about Computer Vision Engineer jobs

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:

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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:

Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Denver, CO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $125,073 per year, or $60.1 per hour.

Machine Learning Engineer

Blissway Inc

Denver, CO • On-site

$145K - $195K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Work at Blissway: Opportunity for Impact Every Day
Blissway is a startup that simplifies toll collection and dramatically improves highway safety. We are multiple startups in one: Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly insurmountable technological lead in tolling, an industry that is quietly bigger than football. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30. We've stayed under the radar, but our impact is visible on the massive Interstate Highway System connecting every major US metro (except Juneau, AK-sorry, Juneau).
You are a good fit if...
  • You love the grind: You take ownership and put in the time to meet deadlines. Our recent team survey showed an average of 55 hours/week, with occasional 70+ hour bursts for major releases.
  • You are detail obsessed: You have experience writing code, designing or building systems that stands up to the unpredictability of the physical world, where the small details are the difference between success and failure.
  • You are adaptable: We are a lean team. If you only want to work on a "niche thing" or are uncomfortable helping other teams when they need a boost, this isn't the place for you. We expect you to figure out what you need to get stuff done.
  • You code really well: We mostly use Python and TypeScript, but we don't care what you're most proficient in today-as long as you learn fast.

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, segmentation, classification, embeddings, and re-identification across everything in the camera's frame. You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge. This role is for the engineer who sees a model sitting in a notebook and feels the itch to put it to the test, or in this case, on the road.
The Work
  • Own the Whole Pipeline: You decide which problems are worth solving, then take them from raw sensor data all the way to production: collection, dataset curation, training, deployment, monitoring, and iteration. We wire it all together and run our own servers, so the pipeline is yours end to end.
  • Real Hardware in the Real World: This is the part that makes us special. We own the devices in the field. This means any idea you have can actually get built and tested on real roads.
  • Vision at Real Scale: We process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the frame: vehicles, license plates, wheels, even lane markings. Beyond images, we have multiple other sensors on the road pulling in different data making the problem space wide open. At this volume, the right model can drastically improve accuracy and cut cost at the same time.
  • Classical CV to Custom SOTA: Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained state-of-the-art models (detection, segmentation, embeddings, classifiers). You pick the right tool, and when nothing off-the-shelf is good enough, you train your own.
  • Build the Best Models That Exist: We read the papers, go to the conferences, and hold our work to the current frontier. ML has become essential to Blissway over the past year, and this team is where that bet gets made real.
  • Edge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We're now pushing more inference onto the roadside hardware itself, a completely different problem: the models have to be fast, small, and power-efficient without giving up accuracy. You'll work both sides of that constraint.

Requirements
  • Experience: 2 to 6 years of software engineering with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship.
  • Both Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both.
  • Full Lifecycle: You've owned models beyond the notebook: trained, deployed, monitored, and iterated in production.
  • Real CV depth. Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.

How We Work
We're a small team, which means a more deliberate interview process than you might be used to. In exchange, you get real autonomy from day one, direct access to the people setting technical direction, and work that ships to real roads in weeks, not quarters.
The Process: We hire software engineers in cohorts. Rather than evaluate candidates on a rolling basis, we collect applications over a two-week window and assess everyone together. This allows us to make fair, considered comparisons and move the strongest candidates through the process efficiently and fairly.
The process has five stages:
  1. Application Review: We (a human) read every application carefully at the close of the approximately two-week window.
  2. Ezra: A brief AI-assisted screening to make sure we're a mutual fit before investing more of your time. Think of this as a way to augment your application.
  3. Screening Interview: A focused conversation to understand your background and motivations.
  4. Technical Interview: A deeper evaluation of your skills and how you think through problems.
  5. Experience Interview: A conversation about how you've worked and what you've built.
  6. Final In-Person: A chance to meet the team and see the work environment firsthand.

We'll be in touch at the close of the application window with next steps.
The Essentials (Health & Wealth)
  • Relocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.
  • Personalized Health Coverage (ICHRA): We don't believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.
  • Investing in Your Future: 401(k) matching up to 4%.
  • Peace of Mind: Transparent compensation. Company-sponsored life & disability insurance.
  • Early Stage Equity: Competitive equity package. Every year, we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.

Rest & Recharge
  • High-Trust Time Off: 4 weeks of untracked PTO. We don't micromanage your calendar; we focus on your impact. Take the time you need to stay sharp and inspired.
  • Family First: 12 weeks of paid parental leave for birth and adoptive parents. We want you present for the moments that matter most.
  • The Deep Breath (Sabbatical): Every 5 years, take 12 weeks of fully paid leave. Go travel, write a book, or master a new hobby-then come back and tell us all about it.

Fuel & Community
  • The Blissway Kitchen: Whether it's breakfast to start your day or our daily group lunches, we keep the team fueled.
  • Snacks Autonomy: Our kitchen is fully stocked and we mean it-if we're missing your favorite fuel, just add it to the request list.
  • The "BlissTrip": An annual 4-day getaway for the team and significant others.
  • Monthly Beats: Game nights, escape rooms, and dinners to celebrate the grit we put in.
  • Continuous Learning: Tuition reimbursement for courses, programs, and conferences that sharpen your craft.

Apply