Machine Learning Infrastructure Engineer

About the job


Apple is looking for Machine Learning/Deep Learning infrastructure engineers to develop infrastructure for various ML/DL applications. Your work will enable researchers and engineers to build production ML/DL models at scale. Join Apple and help us leave the world better than we found it!


– Develop highly scalable and reliable machine learning infrastructure that can perform model training and evaluation on a massive scale.

– Build vital tools and infrastructure to monitor and understand the performance of complex systems.

– Support the team to deploy models in a mission critical environment.

Key Qualifications

Strong background in building scalable and fault-tolerant distributed systems. Ideal candidates have past experience in building applications such as data pipelines, data caching/storage systems, and/or RPC services.

Strong programming background, with extensive experience in Python. Experience with C++ is a plus.

Familiarities with gRPC, ML model deployments, Ray, Spark, full-stack web developments are a plus.

Previous experience with developing machine learning infrastructure or experience in using GPUs is a plus.


You’ll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We hope you’re excited about the values that drive us:

– Passion for the mission: We’re here to make something great. We take on whatever work is right for the product and strive for the best possible results.

– Modesty: The right answer is more important than being right. We search for solutions as a team and value clear-eyed feedback.

– Lean habits: You can’t grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make great decisions.

Education & Experience

Bachelors, Masters, or PhD Degree in Computer Science or equivalent professional experience.

Role Number: 200174899

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