AI Safety & Robustness Analysis Manager - SIML, ISE

Key Skills

Aartificial intelligence, Computer Vision (CV), Data Analysis, Data science techniques, Design, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch

Job Description

• Are you passionate about inclusion, fairness and safety in AI powered features that ship on 1.5B Apple products across the globe? Are you excited about Generative AI and motivated to build out robust and safety capabilities of generative models? 
• We are the Intelligence System Experience (ISE) team within Apple’s software organization. The team works at the intersection between multimodal machine learning and system experiences. System Experience (Springboard, Settings), Keyboards, Pencil & Paper, Shortcuts are some of the experiences that the team oversees. These experiences that our users enjoy are backed by production scale ML workflows. Visual Understanding of People, Text, Handwriting & Scenes, multilingual NLP for writing workflows & knowledge extraction, behavioral modeling for proactive suggestions, and privacy preserving learning are areas our multi disciplinary ML teams focus on.
• We have multiple on-going efforts involving generative models, and we are looking for talented candidates to led the Robustness Analysis effort in ISE to ensure that features built on top of generative models are safe for deployment, and perform equally well for diverse customers within Apple's global user base.

This is an exciting time to join us: grow fast, and have a positive impact on multiple key features on your first day at Apple!

Key Qualifications

• 2+ years of experience as a machine learning manager, or 7+ years of professional machine learning experience with demonstrated technical leadership
• Capacity to build a team and establish innovative and agile processes that push for a high level of service and for scalability
• Strong ML fundamentals and hands-on experience in training ML models (NLP or Computer Vision), familiarity with ML toolkits, e.g., PyTorch
• Proven experience in accessing and addressing potential risks and ensuring the safety and fairness in generative models. Prior experience in LLM Safety is desired
• Strong experience in quantitative methods, data analysis and machine learning, leading to a deep understanding of the challenges associated to building ML datasets and machine learning models (potential biases, potential failure modes)
• Capacity to operate at the intersection of ethics, product experience and machine learning: translate product needs (e.g. fairness & safety) into analytical requirements; design and lead experiments to answer feature level questions

• In this position, you will manage a team of people passionate about leading RA operations for key future facing Apple features with focus on ensuring safety and robustness for generative models. Apple’s dedication to deliver incredible experiences to a global and diverse set of users, in full respect of their privacy, has led to the development of a dedicated Robustness Analysis function. With the generative experience, creating a safe and robust platform is vital to our mission. Team’s responsibilities include monitoring ML model performance on relevant axes, and surfacing, measuring and mitigating ML failure modes, in order to improve overall user experience and reduce risks, with specific attention given to safety, inclusion and fairness.