Senior Staff Software Engineer, Machine Learning Platform

Istanbul, Turkey

Full Time Senior-level / Expert
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Udemy, Inc.
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We are looking for a Sr. Staff Software Engineer to contribute to the efforts to build the next  generation machine learning (ML) platform at Udemy. The current platform 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 previously computed results, execution of ML models in real-time) components. And this platform is actively used by multiple teams to empower different parts of the product and various internal operations. 
In this role, you will design, build, and operate scalable systems, platforms, and tools to enable the development and productionization of ML models. You will work in a wide technical stack, including both data-related technologies and backend development, in coordination with a large cross-functional team of data scientists, ML engineers, and software developers. Success in this role will require a combination of technical excellence, a product-minded approach for the platform’s development, and data-informed decision-making skills for operating the platform. 


  • Partner with the teams that build ML products as well as other platform teams to define Udemy’s next generation ML platform. 
  • Hands-on contribution to the development of the platform and related tools
  • Operate a robust, scalable, and highly available platform with SLO/SLAs.
  • Advocate for technical quality, effective team processes, and engineering best practices.
  • Provide hands-on technical guidance and mentorship for team members.


  • 5+ years of full-time experience in software development, data engineering, or similar fields 
  • Strong knowledge of computer science fundamentals and software engineering practices 
  • Proficiency with Python, Java, Kotlin, or Scala
  • Experience with building and integrating highly available and robust services (preferably using Kotlin and gRPC)
  • Understanding of SDLC methodologies and CI/CD pipelines
  • Experience with data streaming and processing frameworks, such as Spark, Kafka, etc.
  • Experience with processing high volumes of data in a distributed, scalable, and/or containerized environment
  • Excellent written and oral communication skills
  • Self-driven, highly motivated, and able to learn quickly

Preferred but not required

  • Knowledge of ML lifecycle and MLOps
  • Experience with cloud computing services providers (preferably AWS)
  • Good understanding of databases and data/object storage technologies such as Hive, Redis, and S3
  • Experience with building data pipelines (preferably using Python, Pyspark, and Airflow)
About UdemyWe believe anyone can build the life they imagine through online learning. Today, millions of students around the world are advancing their careers and passions by exploring and mastering new skills on Udemy, and expert instructors are able to share their knowledge with the world. Through our global marketplace and our solutions for businesses and governments, we connect people everywhere with the skills they need for success in work and life. We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious belief in the power of learning and teaching to change lives. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.
Founded in 2010, Udemy is privately owned and headquartered in San Francisco’s SOMA neighborhood with offices in Denver (Colorado), Dublin (Ireland), Ankara (Turkey), Gurugram (India), and São Paulo (Brazil).
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Job region(s): Middle East
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