Volunteer Machine Learning Jobs in Colorado (NOW HIRING)

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.