Machine Learning Engineer

Machine Learning Engineer at Apple

The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of our team, you will be leveraging and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas such as internationalization and safety.

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.

Minimum Qualifications

• BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
• Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models
• Understanding product requirements then translating them into modeling tasks and engineering tasks
• Proficient in at least two programing languages such as: C/C++, Go, Python, Java

Preferred Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
• Experience with analyzing search ranking and relevance requirements issues and opportunities
• 2+ years of industry related experience, working in collaborative environments
• Experience with building machine-learned models for search relevance ranking query understanding and questioning
• Experience with cloud-native deployment (e.g. Kubernetes)
• Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)

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 $181,100 and $318,400, 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 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.

Apple accepts applications to this posting on an ongoing basis.

Key skills/competency

• Machine Learning
• Deep Learning
• Natural Language Processing
• Information Retrieval
• Query Understanding
• PyTorch
• TensorFlow
• Kubernetes
• Distributed Systems
• Software Engineering