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Machine Learning Engineer, Recommendations

Udemy
$140,000-$175,000
United States, California, San Francisco
600 Harrison Street (Show on map)
Sep 25, 2025
Join Udemy. Help define the future of learning.

Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It's personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they're picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you're excited by change, energized by learning, and ready to have a real impact, you'll feel right at home.

Learn more about us on our company page.

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Turkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

About this role

Udemy is looking for a machine learning engineer to join our Recommendations Team. Udemy's personalized recommendations system is composed of batch (e.g., feature and machine learning pipelines), streaming (i.e., feature computation in real-time), and online (i.e., microservices to serve personalized recommendations) components. The team is responsible for all these components, as well as the underlying machine learning algorithms and evaluation methodologies.

As a member of a cross-functional agile team comprising engineers and data scientists, you will be responsible for designing, building, and integrating scalable systems. These systems will focus on enhancing recommendation quality and personalizing the learner experience with minimal latency. Your work will span a broad technology stack, encompassing both data-related technologies and backend development.

Are you passionate about learning, willing to take technical challenges, care about making an impact, and looking for a diverse, collaborative, and fun environment that also values

quality? If so, come help us improve lives through learning at Udemy!

Work authorization: Candidates must be legally authorized to work in the United States for any employer now and in the future without the need for employer-sponsored work authorization. This role is not eligible for current or future visa sponsorship or transfer (e.g., H-1B, H-1B transfer, O-1, TN, E-3). Individuals working on F-1 OPT/STEM OPT who would require sponsorship to continue working in the U.S. after their OPT period are not eligible for this role.

About your skills




  • Machine learning at scale: You have a strong knowledge of machine learning, statistics and information retrieval coupled with practical, real-world experience with implementing ML algorithms at scale.
  • Problem Solving Mindset: You can solve problems and implement solutions across a wide range of technologies and within complex systems. You also have a growth mindset, enabling you to learn new technologies even if they are outside your current expertise.


Execution: You are able perform tasks independently with minimal supervision and are comfortable navigating ambiguous technical tasks with some help from technical leads.



  • Collaboration: You work effectively in cross-functional teams, communicate clearly with non-technical stakeholders and are thoughtful while making tradeoffs.



What you'll be doing



  • Design, develop, test, and deploy scalable recommendation and personalization systems, platforms, and tools.
  • Develop high-performance ML models for real-time applications.
  • Design and analyze experiments, and monitor the performance of personalized recommendations.
  • Translate data science prototypes into scalable production implementations.
  • Partner with data scientists and engineers to troubleshoot and optimize complex data workflows.
  • Collaborate with data scientists, engineers, and product managers to identify opportunities to improve our learner experience through personalization.



What you'll have



  • About 1-3 years building and supporting ML features at scale in production.
  • Comfortable with computer science fundamentals (OOP, data structures, algorithms) and writing clean, maintainable code.
  • Practical, applied knowledge of statistics and machine learning; exposure to recommender systems/personalization or NLP is a plus.
  • Proficiency in Python; familiarity with Java or Kotlin is a plus. Comfortable picking up new languages/paradigms as needed.
  • Experience with at least one of scikitlearn, PyTorch, or TensorFlow (no need to have all three).
  • Comfortable with SQL and batch data processing; experience with Spark/Hive (or similar) is a plus.


At Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor. In addition to a base salary, this role is also eligible for equity.

Hiring Compensation Range
$140,000 $175,000 USD
Why work here?

You'll grow here. Learning is part of the job. You'll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.

AI is real here. We use it in the way we learn and the way we work. You'll have the space and tools to experiment, apply, and get better at using AI in practical ways.

You'll own your work. We trust people to lead, make decisions, and follow through. You don't need to wait for permission or layers of approval to have an impact.

You'll build with others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.

You'll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You've got the experience, why not use it to help others gain theirs?

Bring your curiosity. We'll bring the platform and the support. Let's LEARNtogether.


Our Benefits Start with U

Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits,Turkiye Benefits & US Benefits,pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.

Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.


At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

Information regarding data privacy is available within the Udemy Careers Privacy Notice.

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