AIML - Staff Machine Learning Engineer/Scientist, Siri and Information Intelligence
Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an R&D team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more. As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users’ questions. Our team is responsible for training and deploying these models at scale, using the latest advances in model compression and inference-optimized hardware.
Description
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 scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and some engineering skills. This role will have the following responsibilities:
- Analyzing search ranking and relevance requirements issues and opportunities
- Utilizing PyTorch, TensorFlow, and JAX for training and deploying deep learning models
- Understanding product requirements then translating them into modeling tasks and engineering tasks
- Building machine-learned models for search relevance ranking, query understanding, and questioning
- Publishing and presenting in several top NLP conferences like EMNLP and NAACL
Key Qualifications
- Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval.
- Mastery of one of the following languages: Python, Go, Java, C++.
- Strong coding skills and solid understanding of algorithms, data structures, and distributed system design.
- Excellent interpersonal skills and demonstrated ability to work independently as well as in a team.
- Excellent practical skills with and state of the art knowledge of major machine learning algorithms.
Education & Experience
BS, MS, or Ph.D in Computer Science, Machine Learning, or related field.
Additional Requirements
- Experience with large scale search and machine learning systems
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 $161,700 and $284,900, 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.
