Role at a glance
- Salary
- $150.4K – $277.6K/yr
- Location
- Cupertino, California, United States Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- strong research background in machine learning or related fields
- Education
- PhD or equivalent practical experience in Computer Science or a related technical field
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Role Summary
This role focuses on foundational, curiosity-driven machine learning research, including efficient training, fast inference, and multi-modal, multi-task, and reasoning capabilities. The researcher will collaborate with machine learning engineers and researchers across Apple and contribute research intended to impact Apple products and scientific venues.
What You'll Do
- Define and pursue a research agenda focused on fundamental problems in machine learning.
- Advance understanding through rigorous experimentation and close collaboration with colleagues.
- Develop high-quality code.
- Provide technical mentorship.
- Prepare publications and presentations for top-tier venues.
- Collaborate with broader teams across Apple.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Demonstrated expertise in machine learning research; publication record in relevant conferences; strong hands-on experience with Python and deep learning toolkits such as PyTorch; strong mathematical skills in linear algebra and statistics; PhD or equivalent practical experience in Computer Science or a related technical field.
Required
- Ability to formulate a research problem and design, experiment, implement, and communicate solutions.
- High-quality open-source contributions to related projects.
- Strong presentation skills for internal and external communications.
Preferred
- Ability to work in a diverse, collaborative environment
- High-quality open-source contributions to related projects
- Strong presentation skills for internal and external communications
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
Description
You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research.
In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.
Minimum Qualifications
Demonstrated expertise in machine learning research.
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.)
Strong hands-on experience working with Python and deep learning toolkits such as PyTorch.
Strong mathematical skills in linear algebra and statistics
PhD or equivalent practical experience in Computer Science or a related technical field
Preferred Qualifications
Ability to formulate a research problem and design, experiment, implement, and communicate solutions.
Ability to work in a diverse, collaborative environment
High-quality open-source contributions to related projects
Strong presentation skills for internal and external communications
Pay & Benefits — Cupertino, California, United States
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 $150,400 and $277,600, 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.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
Pay & Benefits — Seattle, Washington, United States
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 $142,300 and $263,300, 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.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.