Software Engineer, MLS

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.

We are seeking a software engineer to join Udemy’s Machine Learning Services team. This team builds and maintains backend systems that support both machine learning services and Generative AI initiatives. In this role, you will work on microservices, contribute to GenAI integrations, and help deliver reliable backend services used at scale.

What you'll be doing

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  Create, develop, maintain, and enhance microservices to support key ML applications and GenAI initiatives.

  
  


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  Implement and support interfaces to integrate with multiple 3rd party GenAI providers, ensuring robustness and high reliability.

  
  


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  Contribute to improving system reliability, performance, and scalability.

  
  


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  Participate in planning, implementation, and delivery of backend features.

  
  


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  Write clean, well-tested code and participate in code reviews, including reviewing AI-generated code

  
  


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  Work with cross-functional partners to support ML-driven product features.

  
  


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  Foster a culture of continuous improvement through proactive problem-solving and staying up-to-date with emerging technologies

  
  

What You'll Have

• Professional experience or strong project experience building backend or full-stack services.


• Practical experience with microservices or service-oriented architectures.


• Familiarity with event-driven systems or streaming platforms such as Kafka.


• Demonstrated ability to solve high-impact technical challenges and deliver scalable technical solutions.


• Solid problem-solving skills and attention to code quality.


• Proficiency in at least one modern programming language.


• Experience in design for distributed user-centric applications.


• Experience using cloud platforms and related infrastructure tools.


• Comfort working in agile, collaborative engineering teams.


• Interest in machine learning systems and GenAI-backed applications.

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 LEARN together. 

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. 

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