Research Engineer, Reasoning & Memory - SIML

Apple Inc

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 65% of similar roles. Most pay $170,000–$234,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $202k 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 · Research Engineer, Reasoning & Memory - SIML

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As a Research Engineer in Reasoning & Memory Systems at Apple’s SIML Content Understanding team, you will collaborate closely with hardware engineering, design, and product teams to advance Apple Intelligence capabilities. Your day-to-day responsibilities include developing algorithms for prompt optimization and post-training alignment, testing training infrastructure, and partnering with safety/security teams on robustness challenges. You will also work on integrating bleeding-edge algorithmic innovations into emerging agentic experiences, leveraging your expertise in machine learning fundamentals such as reinforcement learning or multimodal training. Proficiency in PyTorch and experience with automatic evaluation techniques are essential, along with a strong track record of research contributions through publications or open-source projects. Familiarity with distributed training and large-scale data infrastructure is highly desirable for this role within Apple’s vibrant Machine Learning community.

Skills

Python PyTorch Reinforcement Learning Multimodal Training Pre-training Post-training Distributed Training Large-Scale Data Infrastructure CI/CD

What you'll do

  • Develop and optimize prompts for machine learning models.
  • Prototype and integrate advanced algorithmic innovations in emerging systems.
  • Conduct automatic evaluations to measure model performance accurately.
  • Collaborate on testing and maintaining the training infrastructure.
  • Work with safety/security teams to address robustness challenges.
  • Interface with large-scale data infrastructure for efficient processing.

What we're looking for

  • PhD or MSc in Computer Science/Electrical Engineering with a focus on machine learning.
  • Strong background in ML and generative modeling fundamentals.
  • Proven experience in Reinforcement Learning, Multimodal Training, or pre/post-training models.
  • Proficiency in using PyTorch for machine learning tasks.
  • Demonstrated research contributions through publications or open-source projects.

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