Job Details

Role Number: 200625615-0836

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Collaborate with engineers in building on-device search solutions, ranking and retrieval and general application of machine learning technologies. Collaborate with cross functional teams to capture requirements, understand dependencies, define an architecture, and implement solutions to well-defined projects. Collaborate with various product collaborators across the company and partner with them to apply language understanding models to new product areas and use cases. Work with the software engineering tasks across multiple domain areas machine learning projects involving state of the art modeling techniques. Work on application of machine learning and software engineering technologies and algorithms. Perform code review, coding, architecture building, software engineering planning. Analyze the loss patterns in the current search and assistant stack to determine new ideas, algorithms and techniques to resolve those losses with the goal of improving the top-line product metrics. Work on continuously improving the metrics and performance of models the team has launched in production by leverage state-of-the-art ML techniques and natural language processing. 40 hours/week. 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 - $272,100/yr and your base pay will depend on your skills, qualifications, experience, and location.

PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Minimum Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering or related field.

• Experience and/or education must include:

• Utilizing programming languages: C++, objective-c, python, java.

• Using Git for managing code changes.

• Using and implementing various data structures and algorithms to solve problems by analyzing different algorithms and choosing the correct algorithm based on the requirements.

• Building end-to-end production system including query understanding and ranking to power search.

• Building machine learned models for search relevance, ranking and query understanding problems.

• Utilizing software testing principles and tools, as well as debugging techniques to ensure code quality and experience in unit testing design and principles.

• Experience in cloud platforms (AWS, Azure, Google Cloud) for deploying and managing applications.

Preferred Qualifications

• N/A

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .