Summary
Posted: Apr 8, 2024
Weekly Hours: 40
Role Number:200546640
The Siri information intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Siri's universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of Siri Search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.
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Key Qualifications
- 5+ years of experience in machine learning, information retrieval, indexing and retrieval
- Mastery of two of following languages: Python, Go, Java, C++
- Excellent knowledge and good practical skills in major machine learning algorithms
- Excellent data analytical skills
- Good interpersonal skills
- Good team player
Description
As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will have the following responsibilities: - Analyzing search suggestion ranking and relevance requirements, issues and opportunities - Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc. - Building end-to-end production system including query understanding, ranking and recommendation to power search - Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
Education & Experience
MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field
Additional Requirements
- Experience with large scale search and machine learning systems is highly desired
- Experience with Hadoop, Hive, and/or Impala is a plus
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 $131,500.00 and $243,300.00, 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.