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Entry Level Machine Learning Engineer Jobs in Colorado

Machine Learning Engineer

Denver, CO · On-site

$205K - $316.40K/yr

We are looking for Machine Learning Engineers ranging from the Senior to Staff levels (note: leveling decisions made through the interview process). Our Machine Learning team builds the predictive ...

We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and ...

Machine Learning Engineer

Denver, CO · On-site

$85K - $180K/yr

Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline * Proficient in Python * Foundational understanding of machine learning concepts ...

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full ... and machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates ...

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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 May 30, 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 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 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 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:
Infographic showing various Entry Level Machine Learning Engineer job openings in Colorado as of May 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $72,935 per year, or $35.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Quizlet

Denver, CO • On-site

$205K - $316.40K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago


Job description

About Quizlet:
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We're a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week.
We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools.
Let's Build the Future of Learning
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.
About the Team:
We are looking for Machine Learning Engineers ranging from the Senior to Staff levels (note: leveling decisions made through the interview process).
Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet.
We focus on developing models and systems that drive real-time product decisions-balancing business outcomes with long-term learner success. This work is central to how we improve the learning experience for millions of users.
About the Role:
We're hiring Machine Learning Engineers across multiple levels, with leveling determined through the interview process.
In this role, you'll design, build, and deploy machine learning systems that power key product decisions-such as personalization, retention, monetization, and study guidance. You'll work across the full lifecycle, from modeling and experimentation to production integration and long-term system reliability.
Success is measured by your ability to deliver scalable ML systems that drive measurable product impact.
We're happy to share that this is an onsite position in either our Denver, San Francisco, Seattle, or NYC. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.
In this role, you will:
  • Develop predictive and decisioning models (e.g., conversion, churn, LTV, personalization)
  • Design and implement systems for real-time and batch inference
  • Build end-to-end ML pipelines for training, evaluation, deployment, and monitoring
  • Partner with Product, Engineering, and Data teams to define problems and deliver solutions
  • Integrate ML systems into production environments with a focus on reliability and scalability
  • Establish evaluation frameworks connecting offline metrics to online impact (A/B testing)
  • Improve system performance across latency, throughput, and observability

What you bring to the table:
  • Experience building and deploying ML systems in production
  • Strong background in machine learning methods (e.g., predictive modeling, recommendation systems, or decisioning systems)
  • Experience with data pipelines, model serving, and scalable systems
  • Proficiency in Python and common ML frameworks
  • Ability to operate across ambiguity and drive end-to-end solutions
  • Strong collaboration and communication skills

Compensation, Benefits & Perks:
  • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $205,000 - $316,400, depending on location and experience, as well as company stock options
  • Collaborate with your manager and team to create a healthy work-life balance
  • 20 vacation days that we expect you to take!
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
  • Employer-sponsored 401k plan with company match
  • Access to LinkedIn Learning and other resources to support professional growth
  • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice

Why Join Quizlet?
Massive reach: 60M+ users, 1B+ interactions per week
Cutting-edge tech: Generative AI, adaptive learning, cognitive science
Strong momentum: Top-tier investors, sustainable business, real traction
Mission-first: Work that makes a difference in people's lives
Inclusive culture: Committed to equity, diversity, and belonging
We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting that gives a comprehensive view of who we are!
In Closing:
At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together."
Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.
As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
To All Recruiters and Placement Agencies:
At this time, Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.
#LI-onsite
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.