Sr. Software Engineer, ML Platform Technologies (MLPT)

Role Number : 200619953-3760

Summary

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!

Description

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.

Minimum Qualifications

Bachelors in Computer Science, engineering, or a related field

Demonstrated ability in software engineering with a focus on distributed systems

Proven experience in building complex micro-services

Proficiency in programming languages such as Python, Java, or Go

Hands-on experience with relational databases or non-relational database (e.g. PostgresSQL, MongoDB)

Familiarity with event-driven architectures and message brokers (e.g. Kafka, RabbitMQ)

Solid understanding of software engineering principles, design patterns, and RESTful service design.

Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

Experience with cloud platforms such as AWS, GCP, or Azure

Strong communication and collaboration abilities

Preferred Qualifications

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

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant () .