AIML - Machine Learning Engineer, Knowledge Quality, Siri and Information Intelligence

Summary

Posted: Dec 17, 2024

Weekly Hours: 40

Role Number:200583248

The Apple Knowledge Quality 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 this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.

Description

The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs.

Minimum Qualifications

• Proficiency in mainstream programming languages such as Python, Scala, and Go
• Experience with continuous integration and continuous development solutions
• Experience working with large data sets, knowledge graph, 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 and Tensorflow
• Demonstrated ability to connect and collaborate with others
• Graduate degree in Computer Science or a related field or equivalent industry experience in software engineering

Preferred Qualifications

• Experience with prompt engineering, fine-tuning, evaluating for large language models
• Experience with retrieval-augmented generation or generative AI technology is a plus
• Experience in designing and developing large-scale data processing systems
• Excellent problem-solving and analytic skills
• Passion for building phenomenal products and curiosity to learn

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 $135,400 and $250,600, 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.

More

• 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.