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AIML Researcher/Engineer - Foundation Model Post-Training

Apple· Machine Learning and AI
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Hybrid (Seattle, WA), Hybrid (Cupertino, CA), Hybrid (New York, NY)$175k - $308.5kFull-timePosted 4mo ago

About the role

Role focused on shaping the future of Apple’s LLM efforts by transforming models into capable, privacy-forward intelligent assistants. Responsibilities include end-to-end post-training strategies, data strategy, evaluation methodologies, and collaboration with pre-training and product teams to translate user requirements into model capabilities.

Responsibilities

  • Design and iterate on end-to-end post-training strategies (including Reinforcement Learning) to unlock model capacities toward achieving specific model behaviors.
  • Pioneer novel algorithms for preference optimization, model steering, and safety.
  • Drive our data strategy by researching methods for high-quality human and synthetic data generation, automated data filtering, and curriculum learning to improve instruction following and reasoning.
  • Design robust evaluation methodologies to measure model helpfulness, factuality, and utility, moving beyond static benchmarks to accurately capture real-world performance.
  • Partner closely with pre-training teams to inform architecture choices, and with product teams to translate user requirements into model capabilities.

Qualifications

  • Demonstrated expertise in deep learning with a focus on LLMs, post-training, or reinforcement learning, backed by a strong record of academic or real-world accomplishments in these or closely related domains.
  • Proficient programming skills in Python and a major deep learning framework such as JAX or PyTorch.
  • Masters/PhD, or equivalent practical experience, in Computer Science, Machine Learning, or a related technical field.
  • Experience training state-of-the-art large models at scale, with familiarity in distributed training challenges and trade-offs.
  • Experience improving model performance on complex reasoning tasks (math, coding, logic).
  • Experience with various transformers architectures and its transformations.
  • Strong communication skills and a passion for working cross-functionally across Research and Product teams.

Skills

Required:Deep learning with LLMsPythonJAX or PyTorch

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments and relocation eligibility
  • employee stock programs including discretionary RSU awards and Employee Stock Purchase Plan
Last updated Aug 28, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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