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Entry Level Machine Learning Engineer Jobs in Colorado

Blissway Inc.

Machine Learning Engineer

Denver, CO · On-site

They are seeking a Machine Learning Engineer who will own the entire pipeline from raw data to production, working on real-world applications that involve processing millions of images daily.

Blissway Inc

Machine Learning Engineer

Denver, CO · On-site

$145K - $195K/yr

Software Engineer, Machine Learning Team 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 ...

Drawbridge

Entry Level Machine Operator

Golden, CO · On-site

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

Drawbridge

Entry Level Machine Operator

Golden, CO

$16.75 - $20.50/hr

Job Title Entry Level Machine Operator Job Summary We are hiring Entry Level Machine Operators to ... learning valuable skills in machine operation, quality control, and industrial processes. Key ...

AppFolio

Staff Machine Learning Engineer

Denver, CO

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

AppFolio

CO · On-site

Who We Are Looking For We're hiring a Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on -- training, fine-tuning, inference, RAG ...

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All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Colorado

Entry Level Machine Learning Engineer information

See Colorado salary details

$31.5K

$72.9K

$124.1K

How much do entry level machine learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level machine learning engineer in Colorado is $72,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $82,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Colorado? The most popular types of Machine Learning Engineer jobs in Colorado are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Colorado? For Entry Level Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning Engineer jobs in Colorado look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Machine Learning Engineer jobs? Cities in Colorado with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $72,935 per year, or $35.1 per hour.

Machine Learning Engineer

Blissway Inc.

Denver, CO • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Blissway Inc. is a startup focused on simplifying toll collection and enhancing highway safety through innovative technology. They are seeking a Machine Learning Engineer who will own the entire pipeline from raw data to production, working on real-world applications that involve processing millions of images daily.
Responsibilities:
• 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.
Qualifications:
Required:
• 2 to 6 years of software engineering with a focus on machine learning and/or computer vision.
• Strong software engineering fundamentals plus hands-on ML.
• Experience writing production-quality code and training and debugging models.
• Experience owning models beyond the notebook: trained, deployed, monitored, and iterated in production.
• Real CV depth with experience in modern computer vision.
• Judgment to know when a classical technique beats a heavy model.
Company:
Blissway upgrades physical roads into digital infrastructure through a wireless, solar-powered vision layer for next-gen traffic management and safety enforcement. Founded in 2019, the company is headquartered in Denver, USA, with a team of 11-50 employees. The company is currently Early Stage.

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