Machine Learning Engineer, Siri Core Modeling at Apple

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

0.0

Posted On

12 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Natural Language Understanding, Programming, C/C++, Python, PyTorch, Tensorflow, Hugging Face, Model Training, Model Fine-Tuning, Model Optimization, Quantization, Distillation, Communication, Collaboration

Industry

Computers and Electronics Manufacturing

Description

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.

Responsibilities

As a machine learning engineer at Siri, you will be responsible for development and research in deep learning and building advanced natural language and conversation understanding systems. You will work with software and platform engineers to integrate models on-device and enhance Siri's natural language understanding capabilities.