337 jobs for "Research Machine Learning Scientist"

AI Engineer 5

At Capital One - San Jose · McLean

Posted on Sep 20

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Software Engineer, Generative AI & ML

At Apple

Posted on May 28

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Computational Imaging Scientist

At Leidos - San Diego

Posted on Nov 6

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AIML - Sr Data Scientist, Evaluation

At Apple - Cupertino

Posted on Oct 16

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Data Scientist

At Spectrum - Town of Stamford

Posted on Oct 15

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AIML - Sr Data Scientist, Evaluation

At Apple - Cupertino

Posted on Oct 14

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Tech Lead Research Scientist - Recommendation Foundation Models (Global E-commerce)

At TikTok - Seattle

Posted on Oct 9

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World Model Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 7

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(General Hire) Research Scientist Graduate(TikTok Recommendation) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 3

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Research Scientist Intern (TikTok-Data-Content Intelligence) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 3

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Research Scientist Intern (TikTok-Data-Search-Visual Search) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 3

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Research Scientist Intern (TikTok-Recommendation) - 2027 Start (PhD)

At TikTok - San Jose

Posted on Aug 3

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Research Scientist Intern - Risk Control Vertical LLM Foundation and Agent - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

Posted on Apr 16

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Research Scientist Intern - End-to-End Generative Search Technology Based on Pre-Trained Foundation Models - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

At TikTok

Posted on Apr 16

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(General Hire) Research Scientist Intern (Monetization Technology) - 2026 Start (PhD)

At TikTok - San Jose

Posted on Nov 26

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Research Scientist Intern (Ads Integrity) - 2026 Start (PhD)

At TikTok - San Jose

Posted on Sep 6

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Data Scientist Intern (TikTok Shop User Product DS) - 2026 Start (PhD)

At TikTok - Seattle

Posted on Aug 6

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(General Hire) Research Scientist Graduate(TikTok Recommendation) - 2026 Start (PhD)

At TikTok - San Jose

Posted on Jun 25

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AIML - Machine Learning Researcher, Multimodal Foundation Models

At Apple - Zürich

Posted on Oct 19

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AIML - Machine Learning Researcher, Multimodal Foundation Models

At Apple

Posted on Oct 19

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Apple

AIML - Machine Learning Researcher, Multimodal Foundation Models

ZürichPosted 20 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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Apple is where individual imaginations gather together, committing to the values that lead to great work. We are a group of engineers and researchers building multimodal foundation models at Apple, with a particular focus on image understanding and generation. We build infrastructure, datasets, and models with fundamental general capabilities and work with a cross-functional partners to apply these models to ship features to millions of users. We are looking for researchers who are passionate about developing algorithms, techniques, and systems that push the frontier of deep learning and delight millions of users with Apple products powered by foundation models.

Description
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions of users.

Preferred Qualifications
A track record in applying deep learning techniques to shipping products
Multi-modal perception for existing products and future hardware platforms
On-device intelligence and learning with strong privacy protections
Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
Ability to collaborate closely with globally distributed teams.

Minimum Qualifications
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
Deep understanding of multi-task, multi-modal machine learning domain
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
PhD, or equivalent practical experience, in Computer Science, or related technical field

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: Manufacturing

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