AIML Research Scientist — Shape Next-Gen ML

Apple Inc.; Barcelona; On-site; EUR 120,000 - 180,000; Full time

Job summary

Apple Inc. in Barcelona is seeking an AIML - Machine Learning Researcher (MLR) to drive cutting-edge ML research with a focus on introspection, robustness, and next-generation architectures.

You will collaborate with world-class researchers and engineers, publish your work, and present at top-tier conferences, influencing Apple products used by millions of users. You will identify gaps, define a research agenda, design and run experiments at scale, and prepare reports for publication.

Qualifications

• In-depth expertise in machine learning and deep learning, with transformers, diffusion, or SSM architectures.
• Strong mathematical foundation in linear algebra, probability and statistics.
• Hands-on experience with DL frameworks such as PyTorch, JAX, or TensorFlow.
• Strong publication record in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).

Responsibilities

• Identify gaps in the research landscape, define a research agenda, and implement innovative ML approaches to address them.
• Design, run, and analyze experiments at scale, iterating from prototypes to robust implementations.
• Prepare technical reports and papers for publication, and present results at conferences and internal forums.
• Provide technical mentorship and guidance to peers and partner teams.
• Collaborate with engineering and product teams to integrate research outcomes into Apple products, ensuring quality, rigor and user privacy.

Skills

Machine learning

Deep learning

Transformers

Experiment design

Communication skills

Tools

PyTorch

JAX

TensorFlow

Job description

Apple Inc. in Barcelona is seeking an AIML - Machine Learning Researcher (MLR) to drive cutting-edge ML research with a focus on introspection, robustness, and next-generation architectures.

You will collaborate with world-class researchers and engineers, publish your work, and present at top-tier conferences, influencing Apple products used by millions of users. You will identify gaps, define a research agenda, design and run experiments at scale, and prepare reports for publication.