AIML - Generative Foundation Model/LLM Research Scientist, MLR

$135,400 - $250,600/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

In this role, you will be part of the Apple Machine Learning Research (MLR) team, contributing to the next revolution of machine learning technology. We are seeking passionate mid-level and senior researchers who are eager to engage in ambitious, curiosity-driven long-term research projects that will significantly impact the future of Apple and its products. As a member of MLR, you will have the freedom to define your own research agenda, tackle open-ended problems, and publish your findings in high-quality scientific venues. You will also have access to real-world problems and data through collaboration with Apple's product teams. Our current focus within MLR is on large generative models for vision and language, with particular interests in fairness, reasoning, robustness, efficiency, and uncertainty in these models. You will be expected to have a strong research background in machine learning or related fields, regularly publishing your results in relevant conferences and journals. Your role will involve proposing your own research plan to advance the understanding of machine learning, executing it through implementation and experimentation, and collaborating with colleagues across various teams at Apple. Additionally, you will provide technical mentorship and guidance to peers, prepare technical reports for publication, and present your work at conferences. This position offers a unique opportunity to work on innovative foundational research in machine learning, contributing to the advancement of the field while being part of a diverse and collaborative environment.

Responsibilities

• Conduct innovative foundational research in machine learning.
• Define and propose your own research agenda.
• Collaborate with colleagues and broader teams across Apple.
• Publish research findings in high-quality scientific venues.
• Provide technical mentorship and guidance to peers.
• Prepare technical reports for publication and conference presentations.
• Experiment and implement solutions to advance understanding of machine learning.

Requirements

• PhD or equivalent practical experience in Computer Science or a related technical field.
• Demonstrated expertise in machine learning research.
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP).
• Hands-on experience 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 research problems and communicate solutions effectively.
• Ability to work in a diverse collaborative environment.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance
• Participation in Apple's discretionary employee stock programs
• Opportunity to purchase Apple stock at a discount through Employee Stock Purchase Plan.