SUMMARY

Posted: Jan 21, 2025
Weekly Hours: 40
Role Number:200586744
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The people here at Apple don’t just create products - they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple’s Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple’s products and modules worldwide. We are a multi-functional team, tackling challenging software engineering problems across a broad range of Apple manufacturing services. You’ll be leading innovation by exploring, investigating, recommending, benchmarking and implementing full stack technologies for the platform. This data is used throughout the company and the product’s lifecycle: from the very beginning, to validate that units being built are fully tested and of high quality before leaving the factory, all of the way through to warranty support for customers. Apple’s MSI team is seeking a Full-Stack Software Engineer who possesses a real passion for developing extraordinary products with a deep appreciation for user experience.

DESCRIPTION

In this role you will be responsible for defining and developing ML Platform infrastructure and frameworks for generative AI powered applications at Apple Product Operations You will be responsible in crafting, developing and maintaining our large-scale systems, storage, and integration services You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers You will work closely with the SRE team and develop monitoring and alerting on various applications and systems integrations. You will have the opportunity to learn and work on the latest technologies, lead POCs to demonstrate new ideas and influence the future direction of our technology stack

MINIMUM QUALIFICATIONS

• 7+ years of experience in developing large scale distributed computing systems and LLM agent development and other related frameworks like Langchain, LLamaIndex, LangGraph, Crew.ai, AutoGen
• BS or MS degree in Computer Science, Mechanical Engineering, or related field.

PREFERRED QUALIFICATIONS

• Strong software development, problem-solving and debugging skills with experience in one or more of the following languages: Java, Python, Go
• Strong proficiency in LLM, embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
• Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs
• Experience with LLM agent development and other related frameworks like Langchain, LLamaIndex, LangGraph, Crew.ai, AutoGen
• Experience in Prompt Engineering and the implementation of robust security measures for LLM applications
• Familiarity with workflow engines like Airflow is a plus.
• Experience building cloud native platforms using containerization technologies like Kubernetes, docker, helm and well versed in AWS/GCP or Azure
• Ideally 5+ years of experience in crafting, implementing and supporting highly scalable systems.
• Adept at quickly grasping and distilling highly complex matters into clean, understandable solutions
• Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues
• Ability to thrive in a multi-functional team on high profile, critical projects
• Candidate should be able to initiate and explore alternate technology and approaches to solving problems.
• Strong communication and Collaboration skills.

Please refer the Job description for details