ZipRecruiter

Log In

1

Machine Learning Jobs in Denver, CO (NOW HIRING)

Blissway Inc

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 ...

Crowe LLP

Machine Learning Intern

Denver, CO · On-site

$27 - $42/hr

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an ...

Ibotta, Inc

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 contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a ...

Owl AI

Machine Learning Engineer

Boulder, CO · On-site

$150 - $200/hr

Design, train, fine-tune, and evaluate machine learning models across various domains (spanning foundational models, generative AI, computer vision, and predictive analytics) for real-time ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Denver, CO

Machine Learning information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

How much do machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in Denver, CO?

The most popular types of Machine Learning jobs in Denver, CO are:

What are popular job titles related to Machine Learning jobs in Denver, CO?

For Machine Learning jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Machine Learning jobs in Denver, CO look for?

The top searched job categories for Machine Learning jobs in Denver, CO are:

What cities near Denver, CO are hiring for Machine Learning jobs?

Cities near Denver, CO with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Denver, CO as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $43,830 per year, or $21.1 per hour.

Machine Learning Engineer

Denver, CO • On-site

Blissway Inc
See more jobs at Blissway Incexternal

$145K - $195K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 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