Applied LLM Engineer, Applied Machine Learning

$143,100 - $264,200/Yr

Apple - Sunnyvale, CA

Full-time - Mid Level

Sunnyvale, CA

Computer and Electronic Product Manufacturing

About the position

The Applied Machine Learning (AML) Solutions Team at Apple is seeking a skilled professional to define and develop machine learning platforms and frameworks for generative AI applications. This role involves collaboration with cross-functional teams to build business-critical ML applications leveraging large language models (LLMs). The position is fast-paced and high-impact, contributing to one of the industry's most advanced generative AI systems.

Responsibilities

• Define and develop ML platforms and frameworks for generative AI applications.
• Collaborate with model developers, machine learning systems engineers, data scientists, application developers, and product managers.
• Ensure platform features are developed in alignment with product roadmaps and user feedback.
• Work closely with product and program teams to deliver impactful solutions.

Requirements

• 5+ years of industry experience in designing, building, and supporting machine learning platforms, services, and frameworks.
• Strong proficiency in embeddings, vectorization, vector stores, database optimization, and performance tuning.
• Familiarity with embedding and retrieval algorithms, agents, and data modeling for vector development graphs.
• Strong communication skills to convey complex technical concepts to non-ML audiences.
• Solid understanding of software engineering principles, data structures, and algorithms.
• Experience with concurrency, multi-threading, design patterns, and debugging methodologies.
• Self-directed, motivated, and detail-oriented with strong problem-solving skills.
• Experience with LLM and related frameworks like Langchain and LLamaIndex.
• Proficiency in programming languages such as Python, Java, or Go.

Nice-to-haves

• Experience in a collaborative team environment.
• Ability to distill complex data for a non-technical audience.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in Apple's Employee Stock Purchase Plan.
• Discretionary bonuses or commission payments may be available.
• Relocation assistance may be provided.