Machine Learning Research Engineer - Text Generation, Input Experience

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 54% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $224k for comparable roles.

Based on 240 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 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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Join the Input Experience NLP team as a Machine Learning Research Engineer at Apple, where you will contribute to redefining user interaction through generative models for text generation. This senior role involves working on advanced technologies like context-augmented text rewriting and safety-controlled composition, optimizing models for various hardware backends, and integrating these innovations into seamless input experiences that adhere to Apple’s privacy standards. You’ll collaborate with a dedicated team of ML and software engineers using Python, TensorFlow, PyTorch, and other tools while focusing on model compression, deployment in real-world products, and multi-modal modeling. This position offers the chance to impact billions of users by enhancing text generation capabilities across all Apple platforms through pioneering NLP and ML techniques.

Skills

Python TensorFlow PyTorch NLP ML Model Optimization Quantization Pruning Distillation Large Language Models Diffusion Models 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 on Apple devices.
  • Implement and refine machine learning techniques, including parameter tuning and model training optimization.
  • Collaborate on full-stack ML applications in NLP, integrating them into Apple’s keyboard input systems.
  • Enhance privacy by developing on-device text generation technologies that adhere to strict data protection policies.

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.
  • Proficient in programming and communication skills for collaborative work environments.
  • Experience with model compression techniques like quantization, pruning, and distillation.
  • Familiarity with deploying large ML models in real-world products and applications.
  • Expertise in common NLP algorithms and applications including tokenization and language modeling.

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