Machine Learning Engineer, Siri

AppleCupertino, CA
120d

About The Position

The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.

Requirements

  • Strong programming skills in Python and/or C++.
  • Hands-on experience developing end to end machine learning systems.
  • Strong problem solving skills.
  • Ability to work under tight schedules and deliver under pressure.
  • Ability to thrive in a collaborative environment.
  • Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience.

Nice To Haves

  • Hands-on experience working with large language models and natural language understanding.
  • Expertise in using machine learning toolkits such as PyTorch, Hugging Face.

Responsibilities

  • Design, implement, and optimize machine learning algorithms.
  • Develop high-quality machine learning solutions.
  • Collaborate with algorithm designers to create machine learning based solutions.
  • Integrate research into production frameworks.
  • Work closely with product teams before and after feature launch.
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