JobsAIML - Machine Learning Research Scientist, Data and ML Innovation
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AIML - Machine Learning Research Scientist, Data and ML Innovation

Apple

Location

Seattle, WA

Type

Full-time

Posted

5/5/2026

Compensation

Not listed

PhD Entry-Level
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

This research scientist role involves joining a small team focused on understanding and expanding the capabilities of foundation models in scientific domains. The team conducts fundamental research, publishes findings, and applies them to practical problems. The position requires designing experiments, analyzing results, and collaborating with partner teams across Apple. Candidates should be passionate about solving complex phenomena through innovative research approaches.

Requirements

  • 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.

Responsibilities

  • 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 solve applied problems.

Benefits

  • 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.

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