AIML - Machine Learning Researcher - MLR

Apple Inc.; Barcelona; Presencial; EUR 120.000 - 180.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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).

Responsabilidades

• 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.

Conocimientos

Machine learning

Deep learning

Transformers

Experiment design

Communication skills

Herramientas

PyTorch

JAX

TensorFlow

Descripción del empleo

AIML - Machine Learning Researcher - MLR

Barcelona, Barcelona, Spain Machine Learning and AI

Help shape the next generation of machine learning technology at Apple. The Machine Learning Research team in Barcelona pursues research and development in machine learning (ML), with a particular focus on introspection, robustness, and next-generation architectures.As a member of the team, you will tackle some of the most challenging technical problems in the field, collaborate with world-class researchers and engineers, and engage with the academic community by publishing your work and speaking at top-tier conferences. Your research will influence future Apple products and reach millions of users worldwide. If you are excited about advancing the state of the art and translating bold ideas into real-world impact, we'd love to meet you.

Description

Are you passionate about advancing the state of the art and pursuing meaningful innovation? Are you interested in developing machine learning algorithms that power extraordinary products? In this role, you will: 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 the highest standards of quality, scientific rigor, and respect for user privacy.

Minimum Qualifications

• In-depth expertise in machine learning (ML) and deep learning (DL), with particular experience with transformers, or diffusion, or SSM architectures.
• Strong mathematical foundation in linear algebra, probability and statistics.
• Hands-on experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow.
• Strong publication record in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
• Ability to formulate a research problem, design experiments, and implement solutions end-to-end.
• Excellent written and verbal communication skills, with the ability to present technical work to both expert and non-expert audiences.
• Ability to focus and simplify when navigating ambiguous, fast-moving research problems, and to work both independently and collaboratively across teams and disciplines.

Preferred Qualifications

• Interpretability and introspection of large neural networks.
• Training of large-scale models, including distributed training, optimization at scale, and efficiency techniques.
• Exploration of alternative architectures to attention-based models (e.g., state-space models, recurrent or linear-attention variants, or other emerging approaches).

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace