163 jobs for "AI/ML Architect"

AIML - Machine Learning Researcher - MLR

At Apple - Barcelona

Posted on Oct 19

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Posted on Oct 22

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AIML - Applied ML Engineer, Responsible AI

At Apple - Barcelona

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At JPMorgan Chase - Jersey City

Posted on Nov 4

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AIML - Foundation Model Post-Training Research Scientist

At Apple - Zürich

Posted on Oct 19

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Principal AI/ML Engineer

At Fidelity Investments - Westlake

Posted on Nov 4

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AIML - Foundation Model Post-Training Research Scientist

At Apple - Zurich

Posted on Oct 19

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AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

At Apple - San Francisco Bay Area

Posted on Oct 19

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Principal Data Architect, PostgreSQL Database - Ai & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 19

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Sr Engineering Program Manager, AIML Foundation Models

At Apple - Cupertino

Posted on Oct 19

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AIML - Senior Machine Learning Research Engineer, LLM Post-training (Multilinguality)

At Apple - New York City

Posted on Oct 19

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AIML - Sr Lead Engineer, Evaluation

At Apple - Seattle

Posted on Oct 17

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Senior Software Engineering - Ag & Trading

At Cargill - Bengaluru · Shanghai

Posted on Oct 21

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Sr. Systems Engineer - Design and R&D

At General Motors - Warren

Posted on Nov 13

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Data Scientist, Senior Specialist

At Vanguard - Malvern · Charlotte

Posted on Oct 29

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Full Stack Developer

At Leidos - Ashburn

Posted on Nov 7

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Senior HPC Architect / HPC Program Lead

At Applied Materials - Santa Clara

Posted on Oct 31

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Lead Cybersecurity Architect, AI/Agentic Security

At JPMorgan Chase - Chicago · Plano

Posted on Nov 13

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Data Science Manager, GRS AI Transformation

At Liberty Mutual Insurance - Remote / Flexible

Posted on Nov 13

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Apple

AIML - Machine Learning Researcher - MLR

Barcelona, SpainData SciencePosted 27 days ago

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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.

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).

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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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