Machine Learning Researcher, Siri Speech

Job title:

Machine Learning Researcher, Siri Speech

Company

Apple

Job description

We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users! We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI!DescriptionOn the Siri team, you will work alongside a fast-growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural and useful. You will see your ideas not only published in papers, but also improve the experience of billions of users. As a researcher on our team, you’ll help us advance the state of the art technology for speech and multi-modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency, preserving privacy, saving energy and bringing your innovations into production.Minimum Qualifications

  • Proven expertise in efficient deep learning with publication record in conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to products
  • Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
  • Masters Degree or PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience

Preferred Qualifications

  • Strong expertise in machine learning, model compression and algorithm optimization techniques

Expected salary

Location

Cambridge

Job date

Sun, 24 Aug 2025 04:40:01 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.

yonnetim

Share
Published by
yonnetim

Recent Posts

Decentralized SBR wastewater treatment systems for schools

Procurement Process ITB - Invitation to bid Office UNDP-UZB - UZBEKISTAN Deadline 23-Jul-26 @ 08:00…

2 hours ago

RFQ26/03320 SCPI/Organization of Women’s Community Action Accelerator

Procurement Process RFQ - Request for quotation Office UNDP-MDA - MOLDOVA Deadline 17-Jul-26 @ 09:30…

2 hours ago

IC/SGT/2606/27-Conduct a feasibility study on the Lanka Women E-market platform

Procurement Process IC - Individual contractor Office UNDP-LKA - SRI LANKA Deadline 16-Jul-26 @ 04:30…

2 hours ago

Поставка каротажной станции / Well logging station

Procurement Process RFQ - Request for quotation Office UNDP-KAZ - KAZAKHSTAN Deadline 13-Jul-26 @ 12:00…

2 hours ago

PAZ – Compra Menor equipos audiovisuales y de cómputo

Office UNDP-COL - COLOMBIA Deadline 08-Jul-26 @ 03:00 PM (New York time) Published on 02-Jul-26…

2 hours ago

Recrutement de deux consultant(e)s nationaux/ales (1 principal et 1 Associé) en

Procurement Process IC - Individual contractor Office UNDP-BEN - BENIN Deadline 20-Jul-26 @ 07:30 AM…

2 hours ago
If you dont see Apply Link. Please use non-Amp version