Senior Machine Learning Research Engineer, NLP, Input Experience

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
87 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 76% of similar roles. Most pay $187,252–$249,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $219k 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 · Senior Machine Learning Research Engineer, NLP, Input Experience

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As a Senior Machine Learning Research Engineer on the Input Experience NLP team at Apple, you will focus on enhancing user experiences through personalized multimodal input and composition. Your daily tasks include building models for new UI features like Writing Tools and Smart Replies, researching techniques to improve model behavior, and developing scalable pipelines that support multiple languages and production deployment. You’ll also collaborate with language experts to refine modeling approaches and ensure robust evaluation metrics are in place to measure progress. The role requires expertise in Python programming, machine learning, and natural language processing, as well as familiarity with large language models and techniques like SFT and RHLF. This position offers the chance to work on cutting-edge NLP technologies that impact millions of users globally.

Skills

Python Swift LLMs SFT RHLF prompt engineering data synthesis automatic evaluation RAG CI/CD MLOps Kubernetes Docker PostgreSQL TensorFlow PyTorch

What you'll do

  • Develop models for new user interface experiences.
  • Research techniques to improve model behavior continuously.
  • Maintain scalable modeling pipelines supporting multiple languages.
  • Define automated evaluation metrics to enhance model quality.
  • Conduct failure analysis to address model shortcomings effectively.
  • Curate and synthesize training data for diverse language requirements.
  • Implement experiments to assess the impact of model modifications.

What we're looking for

  • MS or PhD in Computer Science with at least 2 years of industry experience.
  • Strong proficiency in Python for production-quality module development.
  • Expertise in machine learning, data science, natural language processing, and statistics.
  • Experience building and maintaining end-to-end model pipelines from data curation to evaluation.
  • Ability to design and execute experiments translating ML/NLP research into practical applications.
  • Familiarity with large language models (LLMs) including SFT, RHLF, prompt engineering, and automatic evaluation.

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