AIML Machine Learning Engineer in Foundation Models, Responsible AI and Safety

Join us as we build world-class groundbreaking products for our customers! Apples 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. nnOur 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 this role you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apples 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: nn- Define and deliver responsible machine learning technologiesnn- Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mindnn- Research and advance safety alignment and model robustness methods for foundation modelsnn- Research and develop mitigations and safeguards to ensure safe deployment of LLMs in Apple productsnn- Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apples AI-powered platform and featuresnn- Work 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 productsnn- Work closely with product and partner teams to drive requirement definition technical quality of deliverables and execution

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.)nnResearch fundamentals machine learning principles and development methodologies around LLMs foundation models and diffusion modelsnnProficient programming skills in Python and deep learning toolkits (e.g. JAX PyTorch Tensorflow)nnWork with highly-sensitive content with exposure to offensive and controversial content

BS MS or PhD in Computer Science Machine Learning or related fields or an equivalent qualification acquired through other avenuesnnExperience with LLM training and safety alignmentnnStrong organizational and operational skills working with large multi-functional and diverse teams