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.
Where we Work
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 Türkiye. 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 algorithms and evaluation methodologies.
In this role, you will design, build, and integrate scalable systems, platforms, and tools to provide better recommendations and personalization data with low latency. You will work in a wide stack, including both data-related technologies and backend development, as a part of a cross-functional agile team of engineers, data scientists, and product managers.
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!
What you'll be doing
Design, develop, test, and deploy recommendation- and personalization-related systems, platforms, and tools at scale.
Develop performant ML models for realtime use-cases.
Design and analyze experiments and monitor performance of personalized recommendations.
Translate data science prototypes into scalable production implementations.
Partner with data scientists to troubleshoot and optimize complex data pipelines.
Collaborate with data scientists, engineers, and product managers to identify opportunities to improve our platform through personalization.
What you'll have
1-2 years of full-time experience with data science or backend engineering or equivalent.
Strong knowledge of computer science fundamentals, including object-oriented design, data structures, and algorithms.
Strong knowledge of statistics, machine learning, and natural language processing.
Proficiency with Python, Java and/or Kotlin.
Experience building complex data products.
Experience with offline data storage and processing frameworks such as Hadoop, Hive and Spark.
Self-driven, highly motivated, and able to learn quickly.
Excellent written and oral communication skills.
Preferred, but not required
Experience with the design, development, and operational maintenance of large-scale platforms and services.
Experience with recommendations, search or information retrieval.
Experience with online data storage and processing frameworks such as Kafka, MySQL, Redis, and DynamoDB.
Experience with SQL performance tuning and query optimization.
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.
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 LEARN together.
Our Benefits Start with UOur 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.
Information regarding data privacy is available within the Udemy Careers Privacy Notice.
Top Skills
Similar Jobs at Udemy
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
