Software Engineer

Join Udemy. Help define the future of learning.

Udemy is an AI-powered reskilling 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 your skills

• Data & ML Infrastructure: You have experience building data pipelines and/or ML workflows in Python, and are comfortable working with structured data, orchestration tools, and scalable processing frameworks.

• Cloud Platform Management: You work with cloud platforms (AWS, Azure, or GCP) to deploy and manage infrastructure that supports batch and real-time data processing, as well as experimentation with generative AI models.

• System Architecture: You contribute to building well-structured, modular systems that support data quality, traceability, and reusability across analytics and AI/ML applications.

• Cross-team Collaboration: You work effectively with data scientists, ML engineers, and product teams to deliver foundational data capabilities that power AI and product features.

 

About this role

• As a Data Intelligence Platform Engineer at Udemy, you’ll help build and maintain the core data systems that power our analytics and AI/ML features and applications.

• Play a key role in advancing Udemy’s mission to democratize education by providing reliable, scalable data infrastructure that supports personalized learning and AI-powered tools.

 

What you’ll be doing

• Develop and maintain data pipelines and platform components in Python using Spark and orchestration tools to enable reliable data delivery.

• Collaborate with teams to support use cases across analytics and AI/ML applications.

• Evaluate and adopt new frameworks and tooling that enhance the platform’s support for AI/ML workloads 

• Build and maintain data quality guardrails including validation, lineage tracking, and observability.

• Learn from and support more senior engineers in shaping the platform’s direction, and grow your skills across data and ML engineering domains.

• Contribute to privacy- and security-conscious data practices, especially as they relate to AI/ML input/output flows.

• Participate in on-call rotation during business hours to ensure platform reliability.

 

​What you’ll have

• Proficiency in Python, data structures, algorithms and design patterns

• Experience with Databricks and AWS including storage, virtual machines, access management, networking, etc 

• Experience with data processing libraries, (e.g., PySpark, Pandas, Scalable Data Pipelines) data formats (Delta/Iceberg) and/or ML toolkits.

• Interest or experience working with AI/ML integration frameworks and building workflows involving reasoning, tool usage, or multi-step agents.

• Strong problem-solving skills and attention to data correctness, latency, and platform performance.

• Ability to work collaboratively on cross-functional teams and communicate technical ideas clearly.

• Exposure to streaming data systems such as Apache Kafka or Kinesis.

• Familiarity with Docker and Kubernetes, and an interest in deploying and scaling AI-related services.

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$109,000—$136,000 USD

Why work here?