Software Engineer – Machine Learning & AI

Summary

Posted: Oct 29, 2024

Role Number:200575723

Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and AI techniques across Apple’s hardware portfolio, helping bring amazing, groundbreaking products and innovations to life. We are the Ecosystem Tools team, and we build software supporting the development of Apple’s unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. If you’re excited by writing efficient, testable, and robust code that makes a real difference, we can’t wait to hear from you!

Description

As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and AI. The software you build will be instrumental in applying ML and AI to solve problems, provide insights, and drive decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we’re building the most effective solutions possible. In this role, your main responsibilities will include: – Write high-quality code that’s testable, scalable, and able to be maintained by others in the future – Collaborate across teams and organizations to distill complex requirements into a concrete action plan – Research new ML and AI techniques and advocate for innovative ways to apply them to new and existing problems for our customers – Lead design reviews, author documentation, and give meaningful feedback on the designs of peers – Represent your work to the team and leadership through demos, presentations, and retrospectives

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience
• Demonstrated software engineering experience in one of the following: web, native or Machine Learning/AI applications
• Ability to communicate effectively with both technical and non-technical audiences

Preferred Qualifications

• 2+ years software engineering experience working in Python or other object-oriented programming language(s)
• Master’s degree in Computer Science, Computer Engineering, related field, or equivalent work experience
• Experience with LLMs, designing and training ML models, and building RAG pipelines
• Ability to architect complex systems in a reusable, modular way
• Curiosity to learn new technologies and passion for sharing that knowledge with others

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 $121,900 and $214,500, 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.