Machine Learning Research Engineer , Text Generation, Input Experience

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $199k
$124k most similar roles pay here $280k

This role pays less than 70% of similar roles. Most pay $195,500–$249,875 — the shaded band above. At the midpoint, this role pays about $199k versus about $223k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Engineer , Text Generation, Input Experience

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As a Machine Learning Research Engineer at Apple’s Input Experience team, you will join a dedicated group focused on advancing user interaction through cutting-edge generative models for text generation. Your role involves developing innovative NLP technologies such as context-augmented rewriting and safety-controlled composition, while ensuring these solutions are optimized for various hardware platforms to deliver seamless input experiences. You will work closely with top-tier engineers to integrate your ML expertise into Apple’s Natural-Language framework, enhancing features like predictive typing and auto-correction across all devices. Essential skills include a strong foundation in machine learning, proficiency in programming languages such as Python, and experience with model optimization techniques for deployment on real-world products. This role demands familiarity with NLP algorithms, multi-modal modeling, and the ability to communicate complex ideas effectively.

Skills

Python TensorFlow PyTorch NLP ML Model Optimization Quantization Pruning Distillation Hardware Architecture Software Hardware Co-design CI/CD Git Natural-Language Framework Tokenization Language Modeling Text Decoding Text Classification Multi-modal Modeling

What you'll do

  • Develop advanced text generation technologies like context-augmented rewriting and safety-controlled composition.
  • Optimize NLP models for various hardware backends to ensure seamless user experiences.
  • Implement privacy-focused on-device machine learning solutions adhering to Apple’s policies.
  • Collaborate on full-stack ML applications for NLP, integrating them into Apple devices and frameworks.
  • Enhance keyboard input features such as auto-correction and predictive typing across all Apple platforms.

What we're looking for

  • Strong machine learning fundamentals and experience implementing basic optimizers.
  • PhD in CS/EE/Physics/Statistics or equivalent Masters with 4 years of relevant experience.
  • Proficiency in programming and model optimization for real-world deployment.
  • Knowledge of NLP algorithms, including tokenization, language modeling, and text decoding.
  • Experience with model compression techniques such as quantization and pruning.
  • Familiarity with hardware architecture and software-hardware co-design.

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