About the role

Aplyr's Quick Take

This role is for a Machine Learning Research Engineer focused on text generation, primarily working on improving user interactions across Apple platforms. You'll be part of a collaborative team developing advanced NLP models and optimizing them for various hardware and software environments. It's a hands-on, individual contributor position.

Good fit

Ideal candidates have a strong background in machine learning and natural language processing, with experience in model optimization and software engineering. A collaborative mindset and a passion for user experience will help you thrive here.

Worth noting

The position emphasizes on-device processing to align with Apple's privacy policies, which may appeal to those who value user data security. The team has a history of showcasing their work at major Apple events, indicating high visibility and impact.

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

Skills & Tags

machine learning

Aplyr's read

Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
Synthesized from recent postings & public sources

What's promising

•Apple consistently leads in tech innovation with a strong focus on design and user experience.
•The company's global brand recognition offers employees a prestigious platform for career growth.
•Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.

What to watch

•High-pressure work environment with demanding deadlines can impact work-life balance.
•Apple's secretive culture may limit transparency and cross-departmental communication.
•Dependence on hardware sales makes the company vulnerable to market saturation risks.

Why Apple

•Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
•The company has a unique retail presence with its own stores enhancing customer experience.
•Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Apple

Apple

apple.com

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AAPL$296.42+1.82%

Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.