Senior Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE
H1BConnect · Cupertino, CA · 2 mo ago
EngineeringFull-time
Location: Cupertino, CA • Full-time
About the role
Lead a team focused on innovative technologies in machine learning, particularly in the areas of Responsible AI and Safety. The candidate will develop ML methods that enhance user experiences while adhering to Apple's values. This position requires a strong background in applied research and a passion for machine learning and foundation models. The ideal candidate will also work closely with safety policies and risk assessment teams to ensure high standards are met.
Responsibilities
- Lead a growing team to innovate and deliver high-impact features using state-of-the-art machine learning technologies
- Design and develop core technologies in the areas of GenAI and Responsible AI and Safety
- Formulate research problems, design experiments, implement solutions, and communicate findings
- Collaborate closely with safety policies and risk assessment teams to lead evaluation efforts
Requirements
- Proven technical leadership with 5+ years of team management or leadership experience
- PhD or equivalent experience in Computer Science or a related technical field
- Demonstrated expertise in ML research and/or ML production deployment lifecycle
- Deep understanding of LLMs
- Hands-on experience working with deep learning toolkits such as TensorFlow or PyTorch
- Publication record in relevant conferences such as NeurIPS, ICML, ICLR, EMNLP
- Experience working on Responsible AI and AI Safety
Benefits
- Comprehensive medical plans and confidential counseling
- Onsite wellness centers at major campuses and resources for fitness and daily life
- Fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance
- Stock grants with purchase discounts, 401(k) matching, and income-protection coverage
- Robust time off policies
- Apple University learning and tuition reimbursement
- Donation matching and paid volunteer hours
- Deep product and partner discounts