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

Apple· Seattle, Washington, United StatesMachine Learning and AI
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Hybrid (Seattle, Washington)$175k - $308.5kfull-timePosted 1mo ago

About the role

Research scientist role focused on fundamental research investigating foundation models for scientific domains. Involves project definition, method development, experimental design, running experiments, analyzing results, publishing papers, and collaborating with partner teams across Apple.

Responsibilities

  • Design robust experiments and methods to understand what foundation models do under the hood.
  • Implement your methods and designs in experiment pipelines.
  • Analyze and interpret your experimental results.
  • Communicate results to teams across Apple.
  • Write papers for publication in top-tier conferences/journals.

Qualifications

  • PhD in computer science, statistics, physics, chemistry, electrical engineering, or operations research. Other hard sciences may also be considered.
  • 3 publications in top-tier machine learning, statistics, or natural language processing venues.
  • Deep knowledge of foundation models and experience training them and applying them to real, complex datasets as demonstrated through publications or code repositories.
  • Experience designing experiments to understand how foundation models work.
  • Knowledge of Bayesian statistical methods and how they are used for scientific inference.

Skills

Required:Experiment design for foundation modelsExperiment implementation in pipelinesData analysis and interpretationAcademic writing/publicationFoundation models

Benefits

  • Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Base pay range between $175,000 and $308,500 per year.
  • Discretionary employee stock programs, eligibility for restricted stock units, and Employee Stock Purchase Plan.
  • Comprehensive medical and dental coverage, retirement benefits, discounted products and free services, education expense reimbursement, relocation eligibility.
Last updated Sep 4, 2026. Interested? Apply on the company site.

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