Overview
On Site
USD 131,500.00 - 243,300.00 per year
Full Time
Skills
Machine Learning (ML)
Deep learning
Linear algebra
Computer science
Research
IMPACT
Data
Reasoning
ACL
TensorFlow
PyTorch
Statistics
Design
Collaboration
Mentorship
Payments
Job Details
Summary
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning through publication and cross-team collaborations.As a member of Apple Machine Learning Research (MLR), you will have the freedom to define your own research agenda, work on open-ended problems and publish in high-quality scientific venues, while having access to real-world problems and data through Apple's product teams. Within MLR, our team is currently interested in large generative models for vision and language, with particular interests in fairness, reasoning, robustness, efficiency, and uncertainty in such models.
Key Qualifications
Demonstrated expertise in machine learning research.Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch.Strong mathematical skills in linear algebra and statistics.In-depth understanding of modern machine learning techniques.Ability to formulate a research problem, design, experiment, implement and communicate solutions.Ability to work in a diverse collaborative environment.
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible.You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Education & Experience
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Pay & Benefits
Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning through publication and cross-team collaborations.As a member of Apple Machine Learning Research (MLR), you will have the freedom to define your own research agenda, work on open-ended problems and publish in high-quality scientific venues, while having access to real-world problems and data through Apple's product teams. Within MLR, our team is currently interested in large generative models for vision and language, with particular interests in fairness, reasoning, robustness, efficiency, and uncertainty in such models.
Key Qualifications
Demonstrated expertise in machine learning research.Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch.Strong mathematical skills in linear algebra and statistics.In-depth understanding of modern machine learning techniques.Ability to formulate a research problem, design, experiment, implement and communicate solutions.Ability to work in a diverse collaborative environment.
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible.You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Education & Experience
PhD, or equivalent practical experience, in Computer Science, or related technical field.
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.