AIML - ML Researcher in Foundation Models, Responsible AI

AIML - ML Researcher In Foundation Models, Responsible AiJoin us as we build world-class groundbreaking products for our customers Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in applied research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:Define and deliver responsible machine learning technologiesDevelop methods and frameworks to train and evaluate foundation models with responsibility and safety in mindResearch and advance safety alignment and model robustness methods for foundation modelsResearch and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple productsAdvocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and featuresWork multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple productsWork closely with product and partner teams to drive requirement definition, technical quality of deliverables, and executionMinimum Qualifications:Strong research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion modelsProficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)Work with highly-sensitive content with exposure to offensive and controversial contentPreferred Qualifications:BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenuesExperience with LLM training and safety alignmentStrong organizational and operational skills working with large, multi-functional, and diverse teamsAt 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 $212,000 and $386,300, 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.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.