Job Details

Job Information

Machine Learning Research Engineer, Siri Core Modeling
AWM-4640-Machine Learning Research Engineer, Siri
12/17/2025
12/21/2025
Negotiable
Permanent

Other Information

www.apple.com
Cupertino, CA, 95015, USA
Cupertino
California
United States
95015

Job Description

No Video Available
 

Role Number: 200620388-0836

Summary

The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done — just by asking.

Description

As a machine learning engineer at Siri, you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users.

Minimum Qualifications

  • Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding.

  • Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills

  • Ph.D. or M.S. degree in related fields

Preferred Qualifications

  • 3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc.

  • Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs).

  • Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency

  • Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Other Details

No Video Available
--

About Organization

 
About Organization