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AIML - Machine Learning Researcher, MLR

External
Apple logoApple · Cambridge, MA
Full-timeOn-site1mo ago30+ days old, may be filled
Deep LearningLinearMachine LearningPyTorch
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About the role

In this position you will be responsible for pushing the boundaries of machine learning research. You will publish your results in top tier conferences and journal venues, making sure that your research results are reproducible and of high quality. You will collaborate with researchers to propose a research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.

Requirements

  • Ability to formulate a research problem, design, experiment, implement and communicate solutions.
  • Ability to work in a diverse collaborative environment.
  • Demonstrated expertise in machine learning research.
  • Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
  • Hands-on experience working with deep learning toolkits such as PyTorch.
  • Strong mathematical skills in linear algebra and statistics.
  • PhD, or equivalent practical experience, in Computer Science, or related technical field.
  • Pay & Benefits
  • Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Additional Information

Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.


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