This research scientist role involves joining a small team focused on investigating foundation models for scientific domains. The team conducts fundamental research, publishes findings, and applies them to practical problems. Candidates will engage in project definition, method development, and experimental design. Collaboration with partner teams across Apple is also a key aspect of the position.

• PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research.
• 3 publications in top-tier machine learning, statistics, or natural language processing venues.
• Deep knowledge of foundation models and experience training them on complex datasets.
• Experience designing experiments to understand how foundation models work.
• Knowledge of Bayesian statistical methods for scientific inference.
• Experience with large language models and tools like vllm for inference.
• Proficient in implementing ML models and experiments in Python and Pytorch/Jax.
• Familiarity with interpretability methods like activation patching and causal tracing.

• Perform fundamental research investigating foundation models for scientific domains.
• Define projects, develop methods, and design experiments.
• Run experiments and analyze and interpret the results.
• Write papers for publication based on research findings.
• Collaborate with partner teams across Apple to apply research findings.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.