Machine Learning Scientist / Engineer (ICML 2019)

Cupertino, CA
  • Job Code
    200051266
Summary

Summary

Posted: May 30, 2019

Role Number: 200051266

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level

We are looking for machine learning research scientists and engineers to join our teams in Cupertino, Seattle, Boston, and Pittsburgh

Key Qualifications

  • Strong background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, optimization, deep learning, reinforcement learning, time series, generative models, signals, computer graphics fields, and distributed systems
  • Knowledge of common ML frameworks
  • A passion for making ML methods robust and scalable
  • Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions
  • Ability to explain and present analyses and machine learning concepts to a broad technical audience
  • Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy
  • Creative, collaborative, and innovation focused

Description

As a member of a machine learning team at Apple, you will use your deep understanding of machine learning and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences

Education & Experience

PhD, MS, or BS in Machine Learning, Computer Science, or related fields.

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Machine Learning Scientist / Engineer (ICML 2019)

Apple, Inc.
Cupertino, CA

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