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 a dynamic team at Apple Machine Learning Research (MLR) that is dedicated to pioneering the next generation of machine learning technology. As a mid-level or senior researcher, you will engage in ambitious, curiosity-driven long-term research projects that are designed to have a significant impact on the future of Apple and its products. This position offers you the unique opportunity to work on innovative foundational research in machine learning, with a focus on publishing your findings and collaborating across various teams within the company. You will have the freedom to define your own research agenda and tackle open-ended problems, all while having access to real-world challenges and data through Apple's product teams. Currently, the MLR team is particularly interested in large generative models for vision and language, with a keen focus on aspects such as fairness, reasoning, robustness, efficiency, and uncertainty in these models. Your strong research background in machine learning or related fields will be crucial as you regularly publish your results in leading conferences and journals, ensuring that your research is of high quality and reproducible. As part of your responsibilities, you will propose and execute your own research plans to advance the understanding of machine learning, collaborating closely with colleagues to implement and experiment with your ideas. You will also provide technical mentorship and guidance to other team members, preparing technical reports for publication and conference presentations. This role not only allows you to contribute to cutting-edge research but also to collaborate with broader teams across Apple, enhancing the impact of your work.

Responsibilities

• Conduct innovative foundational research in machine learning.
• Define and execute your own research agenda.
• Collaborate with colleagues on implementation and experimentation.
• Publish research results in high-quality scientific venues.
• Provide technical mentorship and guidance to team members.
• Prepare technical reports for publication and conference talks.
• Work on open-ended problems related to 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 such as NeurIPS, ICML, ICLR, etc.
• Hands-on experience with deep learning toolkits like 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 the Employee Stock Purchase Plan.