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Senior ML Researcher: Multimodal LLM Post-Training

Apple· Software and Services
Apply on company site
Hybrid (Cupertino, California), Hybrid (San Diego, California), Hybrid (Seattle, Washington)$184.7k - $324.8kFull-timePosted 1w ago

About the role

Senior ML Researcher focusing on foundation model post-training (SFT, RL) with multimodal capabilities. Research, design, and deliver models that balance cutting-edge ML techniques with real-world product impact, collaborating with researchers, engineers, and product teams to enhance creator workflows through generative AI and human-centered design.

Responsibilities

  • Formulate hypotheses for a use case
  • Define data collection and annotation
  • Build evaluations of model capabilities
  • Apply SFT, advanced reward modeling, RL techniques, and distillation to develop and improve the post-training recipe
  • Execute experiments, validate results, and communicate findings to the broader team
  • Contribute to post-training process across stages from data to deployment

Qualifications

  • MS in Computer Science, Machine Learning, or a related field, or equivalent practical experience
  • Minimum 4+ years of research experience in Multi-Modal LLM training and evaluation
  • Proven track record in multimodal SFT plus at least one of distillation, preference optimization, or online RL, backed by shipped models or rigorous experiments
  • Strong programming skills in Python and at least one deep learning framework, such as JAX or PyTorch
  • Ability to translate problem statements into dataset requirements, neural network design, and loss functions
  • PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience
  • Experience in GRPO, DPO, Vision-OPD, and visual-token compression
  • Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV)
  • Bonus: Experience in quantization, on-device models and SLM (Small Language Model)

Skills

Required:PythonJAX or PyTorchDataset design and annotation

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for educational expenses including tuition
  • discretionary bonuses or commission payments may be available
  • relocation assistance
  • Apple shareholder opportunities through stock programs
  • Employee Stock Purchase Plan
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

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