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
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k
This role $250k
$154k most similar roles pay here $336k

This role pays more than 74% of similar roles. Most pay $180,501–$251,775 — the shaded band above. At the midpoint, this role pays about $250k versus about $216k 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 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 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 understanding across various platforms. 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, conduct failure analysis, and implement automated evaluation metrics to measure progress. The ideal candidate has a strong background in machine learning, natural language processing, and Python programming, along with experience in building end-to-end model pipelines and familiarity with large language models and prompt engineering techniques.

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 and production deployment.
  • Define automated evaluation metrics to enhance model quality systematically.
  • Conduct failure analysis to identify and rectify model shortcomings.
  • 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 expertise in Python for production-quality module development.
  • Proficient in machine learning, data science, NLP, and statistics.
  • Experience building and maintaining end-to-end model pipelines.
  • Ability to design and execute experiments for ML/NLP research to production.
  • Familiarity with large language models (LLMs) and related techniques.

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