JobsMachine Learning Research Engineer , Text Generation, Input Experience
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Machine Learning Research Engineer , Text Generation, Input Experience

Apple

Location

Seattle, WA

Type

Full-time

Posted

6/5/2026

Compensation

Not listed

Master's with 2+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
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·FY 2025

Job description

The role is focused on redefining user interaction through generative models for text generation within Apple's Input Experience NLP team. This ambitious and collaborative team aims to enhance user experiences with pioneering machine learning technologies. The position involves working on advanced text generation technologies while ensuring strong adherence to Apple's privacy policies. Candidates will have the opportunity to impact billions of users by applying their machine learning expertise and programming skills.

Requirements

  • Strong machine learning fundamentals are essential.
  • Knowledge of ML techniques such as implementing basic optimizers and applying parameter tuning in model training and evaluation is required.
  • Strong programming and communication skills are necessary.
  • A Ph.D. in CS, EE, Physics, Statistics, or a related field, or a Master's degree with 4 years of proven experience is required.
  • Familiarity with model compression algorithms including quantization, pruning, and distillations is needed.
  • Experience optimizing large diffusion models or language models is essential.
  • Experience with hardware architecture and software & hardware co-design is required.
  • Experience deploying large ML models in real-world products is necessary.
  • Active programming with high-quality code across complex and large repositories is required.
  • Familiarity with common NLP algorithms and applications, including tokenization and language modeling, is essential.
  • Experience with multi-modal modeling and presenting plans, progress, and results concisely is required.

Responsibilities

  • Work on building offline pioneering NLP models and optimizing them for different hardware backends.
  • Collaborate with a dedicated team of ML and software engineers on advanced text generation technologies.
  • Contribute to the development of the NLP and ML text input stack for keyboard input.
  • Expose key technologies across Apple devices and to third-party applications through the Natural-Language framework.
  • Regularly present plans, progress, and results or demos to the team.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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