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Research Scientist/ Engineer - Agentic Workflows

Apple
Posted 18 days ago, valid for 17 days
Location

Seattle, WA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are looking for research scientists and engineers to innovate in language models, machine learning, and robotics, focusing on frontier models and agentic workflows.
  • Candidates should have significant experience building prototypes that achieve state-of-the-art performance, along with strong software engineering skills in complex systems.
  • Fluency in Python and expertise in ML algorithms and deep learning systems are essential, as well as proficiency with ML modeling frameworks like PyTorch and TensorFlow.
  • A Bachelor's, Master's, or PhD in Computer Science or Electrical Engineering, or equivalent experience, is preferred for applicants.
  • The position offers a competitive salary, and candidates are expected to have several years of relevant experience.
We're seeking research scientists and engineers to create breakthrough innovations in language models, machine learning, reinforcement learning, computer vision, robotics, and related areas. We are particularly interested in frontier models (including large multimodal models) and agentic workflows. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description


We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning, computer vision, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:

Minimum Qualifications


Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise. Solid software engineering skills in complex, multi-language systems. Fluency in Python. Expertise in ML algorithms and top practices for working with deep learning systems. Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.). Strong overall software development approach. You deliver clean, well-tested code.

Preferred Qualifications


Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience.



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