Senior Multimodal LLM Post-Training Researcher

Apple, Inc.

Cupertino (CA)

In loco

USD 185.000 - 325.000

Tempo pieno

7 giorni fa
Candidati tra i primi

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Comprehensive medical and dental cover
Retirement benefits
Discounted products and free services
Tuition reimbursement
Relocation assistance

Descrizione del lavoro

Apple, Inc. in Cupertino, California, is seeking a Senior ML Researcher focused on foundation model post-training, including SFT and RL, to research, design, and deliver models that impact real products.

You will collaborate with research scientists, engineers, and product teams on multimodal use cases such as video understanding, instruction following, and agentic tasks, applying post-training recipes and distillation to advance generative AI while aligning with Apple's human-centered design.

Competenze

  • MS in CS/ML or related field or equivalent practical experience.
  • 4+ years of research experience in Multi-Modal LLM training and evaluation.
  • Proven track record in multimodal SFT plus distillation / online RL with shipped models or rigorous experiments.
  • Strong programming skills in Python and at least one deep learning framework such as JAX or PyTorch.

Mansioni

  • Research, design, and deliver models where ML research meets real-world product impact.
  • Collaborate with research scientists, engineers, and product teams to explore new ways generative AI can assist creators.
  • Lead post-training efforts, including formulating hypotheses, data collection, evaluation, and applying SFT and RL techniques.
  • Communicate findings to the broader team and help ship research into Apple's products.

Conoscenze

Python programming
DL frameworks (JAX, PyTorch)

Formazione

MS in CS/ML or related
PhD in CS/ML or related

Strumenti

JAX
PyTorch

Descrizione del lavoro

Apple, Inc. in Cupertino, California, is seeking a Senior ML Researcher focused on foundation model post-training, including SFT and RL, to research, design, and deliver models that impact real products.

You will collaborate with research scientists, engineers, and product teams on multimodal use cases such as video understanding, instruction following, and agentic tasks, applying post-training recipes and distillation to advance generative AI while aligning with Apple's human-centered design.

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