ML Research Engineer, AI Evaluation Platform

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$258,100 / yr
Posted
56 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $215k
$160k most similar roles pay here $269k

This role pays more than 58% of similar roles. Most pay $182,721–$246,150 — the shaded band above. At the midpoint, this role pays about $215k versus about $214k 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 · ML Research Engineer, AI Evaluation Platform

As an ML Research Engineer at Apple Services Engineering, you will join a unique interdisciplinary team combining measurement scientists, ML researchers, and platform engineers to build scalable evaluation methodologies for AI systems. Your role involves rapid prototyping of new evaluation techniques in collaboration with research scientists, implementing methods from recent papers, and scaling these prototypes into production-ready services using robust Python packages and cloud infrastructure. You will also design experiment infrastructures, provide technical feedback on feasibility and scalability, and ensure seamless integration with Apple’s broader ML ecosystem. This position requires strong proficiency in Python and modern ML frameworks like PyTorch or TensorFlow, experience with large language models, and a solid background in software engineering practices such as version control and CI/CD. Ideal candidates thrive in ambiguity and enjoy bridging the gap between research and production at scale.

What you'll do

  • Rapidly prototype AI evaluation methods from recent papers into working prototypes.
  • Refactor research code into robust Python packages for scalable deployment as production services.
  • Design infrastructure to run large-scale evaluation experiments, ensuring reproducibility and scalability.
  • Provide engineering feedback on feasibility and system design to enhance research methodologies.
  • Identify and solve bottlenecks in evaluation workflows to enable operation at enterprise scale.
  • Champion best practices in code quality and automation across the research-engineering boundary.
  • Ensure seamless integration of evaluation methods with Apple's broader ML infrastructure and tooling.

What we're looking for

  • Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field (Master's preferred)
  • 2+ years of hands-on experience combining machine learning and software engineering
  • Strong proficiency in Python and modern ML frameworks like PyTorch, JAX, TensorFlow
  • Experience working with large language models and implementing complex methods from recent papers
  • Demonstrated ability to move experimental code from prototype to production at scale
  • Practical experience with cloud-native development, including containerization and CI/CD pipelines
  • Strong communication skills and comfort in interdisciplinary teams of researchers and engineers

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