AIML - Staff Machine Learning Engineer - Search and Knowledge Quality

AIML - Staff Machine Learning Engineer - Search and Knowledge Quality

Seattle, Washington, United States Machine Learning and AI

Description

The Search and Knowledge Quality Team at Apple is seeking exceptional Machine Learning Engineers to join our prestigious group of world-class experts specializing in large-scale data management and machine learning systems. You will play a pivotal role in pushing the boundaries of knowledge question answering within Siri and other Apple products, impacting how hundreds of millions of users interact with their devices. In this role, you will design and develop cutting-edge features for platforms involving large-scale data management, machine learning, and deep learning systems applied to graph data, web documents, and both semi-structured and unstructured data feeds. This is your chance to shape upcoming Apple products by leveraging your applied machine learning expertise and robust software engineering skills, alongside a diverse team of applied scientists and distributed systems engineers. Your contributions will refine user search experiences, ensuring they are not only seamless but deeply satisfying in meeting users' information-seeking needs.

Minimum Qualifications

• 15+ years industry experience
• Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go.
• Experience working with large data sets and end-to-end pipelines, ideally using the Apache software stack (e.g. Spark)
• Working experience with natural language processing and machine learning frameworks such as PyTorch, Tensorflow, or JAX
• Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
• Good interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
• Experience in machine learning/AI or a similar area
• BS in Computer Science or related field

Preferred Qualifications

• MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field
• Experience with search and knowledge graph
• Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
• Experience with prompt engineering, fine-tuning, evaluating for large language models
• Experience with retrieval-augmented generation or generative AI technology is a plus
• Passion for building phenomenal products and curiosity to learn

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 $201,300 and $367,400, 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 .

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