About The Position

Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate for this position is an experienced software engineer with a strong background in backend development and API design. They should be skilled in building scalable, high-performance RESTful services and have a proven track record of implementing APIs that serve SDKs and front-end user interfaces. This candidate should have understanding both the architectural challenges and practical aspects of deploying and maintaining services in cloud environment. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives! You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and workflow. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with product managers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve designing and deploying large-scale micro-services in third party cloud.

Requirements

  • Advance degrees in Computer Science, engineering, or a related field.
  • Familiarity with ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow).
  • Experience with CI/CD processes and tools.
  • Experience with MLOps practices and tools.

Responsibilities

  • Design, build, and maintain large-scale distributed systems for the ML lifecycle.
  • Develop scalable, high-performance RESTful services.
  • Implement APIs that serve SDKs and front-end user interfaces.
  • Understand architectural challenges and practical aspects of deploying services in cloud environments.
  • Collaborate with product managers and partner teams to understand requirements.
  • Deliver innovative solutions for ML processes.
  • Design and deploy large-scale micro-services in third party cloud.

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What This Job Offers

Career Level

Senior

Industry

Computer and Electronic Product Manufacturing

Education Level

Master's degree

Number of Employees

5,001-10,000 employees

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