Summary

Posted: May 29, 2024
Weekly Hours: 40
Role Number:200550034

Imagine what you could do here. At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The Applied Machine Learning(AML) Solutions Team build solutions that impact across ALL of Apple. Typically these problems are related to Machine Learning Platform & Solutions and Big Data.

Description

This role will be responsible for defining and developing ML Platform and frameworks for generative AI powered applications. You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers. Our ML Platform allows cross-functional teams to build diverse, business critical ML apps leveraging LLMs. This role will also work closely with product and program teams to ensure platform features are developed in lockstep with products roadmap and business user feedbacks. This is a fast-paced role with high visibility, impact, and influence in delivering one of the industry's most advanced generative AI systems.

Key Qualifications

• 5+ years of industry experience designing, building and supporting machine learning platforms, services and frameworks.
• Ability to apply your LLM knowledge with a product-oriented focus.
• Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
• Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
• Strong communication skills, and ability to distill technically complex concepts and data for an intelligent but non-ML audience.
• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies.
• Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.
• Experience with LLM and other related frameworks like Langchain, LLamaIndex
• Experience with relevant programming languages, such as Python, Java, or Go.
• Excellent problem-solving skills and the ability to work in a collaborative team environment.

Education & Experience

Bachelor’s degree or equivalent in Computer Science or equivalent field

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $138,900 and $256,500, and your base pay will depend on your skills, qualifications, experience, and location.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.