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Online Machine Learning Jobs in Colorado (NOW HIRING)

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 ... Establish evaluation frameworks connecting offline metrics to online impact (A/B testing) * Improve ...

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

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 ...

Sr. Machine Learning Engineer

Denver, CO · Remote

$107.60K - $147.70K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ... online) * Background in workflow orchestration systems (e.g., Temporal) * Experience building ...

Sr. Machine Learning Engineer

CO · Remote

$107.60K - $147.70K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ... online) * Background in workflow orchestration systems (e.g., Temporal) * Experience building ...

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Showing results 1-20

Online Machine Learning information

See Colorado salary details

$26.8K

$44.8K

$92.5K

How much do online machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for online machine learning in Colorado is $44,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Online Machine Learning Engineer, and why are they important?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Online Machine Learning jobs in Colorado? For Online Machine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Online Machine Learning jobs? Cities in Colorado with the most Online Machine Learning job openings:
Infographic showing various Online Machine Learning job openings in Colorado as of May 2026, with employment types broken down into 1% Internship, 73% Full Time, 23% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $44,777 per year, or $21.5 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.