Apple

Machine Learning Engineer, Siri Speech

Apple
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2 days ago
Cupertino, CA, USAEntry Level / Mid Level
H1B sponsor

Responsibilities

  • Design and develop machine learning models for Siri Speech.
  • Fine-tune deep learning systems for speaker recognition and multimodal understanding.
  • Improve multimodal algorithms that determine whether a user is interacting with Siri.
  • Develop, train, and evaluate large generative models, LLMs, and foundation models.
  • Build and deploy AI agents and LLM-based systems at scale.
  • Integrate machine learning solutions into production in collaboration with software engineering, data science, and product teams.
  • Ship production-quality technology for Siri across Apple platforms and devices.

Requirements

  • Experience developing and training or tuning large generative models or LLMs.
  • Experience with machine learning frameworks such as JAX and/or PyTorch.
  • Proficiency in Python programming.
  • Strong problem-solving skills and ability to work independently and collaboratively.
  • Excellent written and verbal communication skills.
  • Preferred: M.S. in Electrical Engineering, Computer Science, or a related field.
  • Preferred: 1–2+ years of machine learning experience.
  • Preferred: experience with reinforcement learning, speech LLMs, multimodal LLMs, AI agents, large-scale machine learning training and evaluation, and scaling foundation models.

Tech Stack

Categories

Apple

About Apple

10,000+ employees

Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.

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