ML & Data Infrastructure Engineer

Zurich, Zurich, Switzerland
Machine Learning and AI


Role Number:200134046
As an engineer in the Special Projects Group, you will be part of a team building infrastructure and tools for exciting new technologies that will shape the future. You will work in a startup-like environment where products are still being defined and developed, giving you the chance to influence some of the core tools used by the project. You will be part of every stage of development from concept to deployment. We are looking for an engineer to architect, build and scale a robust ecosystem for data processing and compute services. Specifically you will develop solutions that will orchestrate and support the seamless transitioning of petabytes of data through different stages like ingestion, indexing/mining, transformation, machine learning and algorithm validation. You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We will research and develop innovative ML strategies for challenging problems that will affect future Apple products. We hope you’re passionate about the values that drive us.

Key Qualifications

  • You have hands-on experience in building distributed systems, including real-time streaming and batch data processing
  • You are proficient in multiple programming languages relevant for such systems (e.g. Python, Java, C++, Go)
  • You know what it takes to deploy and operate high availability production systems in the cloud
  • You have experience designing service-oriented architectures and using various data stores technologies (blob, NoSQL, and relational)
  • You have experience with cloud computing platform like AWS, GCP and Azure


Develop and scale a data processing platform using the latest open-source technologies Develop an ETL plugin system that will enable researchers and other developers to submit and run data processing jobs in the cloud easily Define a consistent continuous integration/deployment model that will encourage multi-functional development teams to self-service application unit testing, deployment and operations Influence and lead cross-functional initiatives that will align the team towards commonly used technologies and methodologies Experience with full stack application development Experience with Machine Learning / Artificial Intelligence research and development projects

Education & Experience


Additional Requirements