Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, tvOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Join the Siri Speech team and play a part in the next revolution in human-computer interaction. You'll help create groundbreaking technology for large-scale systems, spoken language, big data, and artificial intelligence, building production-quality models that power natural voice experiences used by millions. In this role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production.
Description
We are looking for a talented ML Research Engineer who is excited to work on SiriAI, which is used by millions of users across variety of Apple devices. Our Engineers are creative, inspired, innovative, energetic, self motivated people who love making and shipping products. Are you one of us? You will be responsible for improving multimodal algorithms that decide if a user is interacting with Siri or not. These algorithms include speaker recognition techniques. To succeed in this role, you must be a strong collaborator, and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations.
Minimum Qualifications
Experience in developing, training/tuning large generative models or LLMs
Experience with machine learning frameworks such as JAX and/or PyTorch
Proficient programming skills in Python
Strong problem-solving skills and ability to work independently as well as in a team environment.
Excellent written and verbal communication skills.
Preferred Qualifications
M.S. in Electrical Engineering, Computer Science or related fields
1-2+ years experience in Machine Learning
Experience in reinforcement learning
Experience with Speech LLMs or other Multimodal LLMs
Experience with building & deploying AI agents and LLMs
Experience with large scale machine learning training/evaluation
Data-centric vision and hands-on experience in developing and scaling foundation models
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 3f57907058012e558348aa2de54dd767
- Posted 21 hours ago
