Applied ML Scientist, Shortcuts

Sorry, this job was removed at 02:54 p.m. (PST) on Wednesday, Aug 21, 2024
Be an Early Applicant
Cupertino, CA
1-3 Years Experience
Hardware • Retail • Software • Wearables
The Role

Summary

Generative AI enables us to rethink the way we use our devices. Play a part in the next revolution in human-computer interaction. Work with the people behind Shortcuts & App Intents, Apple Intelligence, and other system experiences that help millions of people get things done!

The Shortcuts & App Intents team is looking for an experienced applied machine learning scientist passionate about transformative new computing experiences powered by generative AI. Work at the intersection of cutting-edge machine learning research, software engineering, and Human Interface Design.

Description

In this role, you will bootstrap and lead machine learning research and application in our group and drive model development and experimentation from concept to production. Responsibilities will include training large scale models on distributed backends, deployment of compact neural architectures efficiently on device, and addressing safety challenges to make our models robust and aligned with human values. As a creative problem solver who excels when faced with new ambiguous problems, you will help us shape our roadmap and solve significant technical challenges in new spaces.

An ideal candidate for this role will have industry experience in program synthesis and Large Language Models (LLMs), as well as knowledge of other contemporary modeling problems (e.g., Conversational Agents, Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Human Preference Learning), along with a proven track record of shipping products and experiences. You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams.

The Company
Cupertino
165,000 Employees
On-site Workplace
Year Founded: 1976

What We Do

We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including Apple TV, the App Store, Apple Music, and Apple Pay. And the same innovation

Gallery

Gallery

Similar Companies Hiring

Lily AI Thumbnail
Retail • Generative AI • eCommerce • Computer Vision • Artificial Intelligence • Analytics
Mountain View, CA
82 Employees
Resident Thumbnail
Retail • Manufacturing • eCommerce
San Francisco, CA
322 Employees
Tarro Thumbnail
Software • Payments • Information Technology • Hospitality • Food
Menlo Park, CA
1300 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account