Machine Learning Research Engineer , Text Generation, Input Experience

Apple

Seattle, WA

JOB DETAILS
SKILLS
Algorithms, Apple, Communication Skills, Compression Algorithms, Computer Programming, Diversity, Editing, Hardware Architecture, Hardware Design, Hardware-Software Integration, Hyperion Pillar, Keyboards, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Organizational Skills, Physics, Product Demonstration, Product Programs, Software Engineering, Statistics, Team Player, Typing, User Interface Design, User Interface/Experience (UI/UX)
LOCATION
Seattle, WA
POSTED
22 days ago
**Role Number:** 200666539-3337 **Summary** Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making each other's ideas stronger. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple's outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple's privacy policy by achieving all of the above on device with powerful Machine Learning. **Description** As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong Machine Learning and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity! **Minimum Qualifications** + Strong machine learning fundamentals + Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments + Strong programming and communication skills + Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience) **Preferred Qualifications** + Familiar with model compression algorithms including quantization, pruning, distillations, and experience optimizing large diffusion models or language models + Experience with hardware architecture, software & hardware co-design + Experience with deploying large ML models in real world products + Actively programming with high-quality codes across complex and large repositories + Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc + Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely

About the Company

A

Apple

We bring amazing people together to make amazing things happen.

We’re a diverse collection 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 iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

About Apple

There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
1976
WEBSITE
https://www.apple.com/jobs