Research Scientist/Engineer, LLM Efficiency

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,700–$324,800 / yr
Posted
57 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $255k
$157k most similar roles pay here $343k

This role pays more than 82% of similar roles. Most pay $180,143–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $217k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Research Scientist/Engineer, LLM Efficiency

Research Scientist/Engineer - LLM Efficiency will join a team of machine learning researchers and engineers focused on the efficiency of frontier models, including large language models and diffusion models. The role involves designing, training, and adapting these models to improve performance while conducting empirical studies to better understand their underlying mechanics. You will develop prototypes to demonstrate new algorithms, collaborate with product teams to ship research, and engage with the academic community by publishing papers at conferences like NeurIPS, ICML, ICLR, and COLM. Required skills include proficiency in Python, PyTorch, and JAX, along with expertise in deep learning systems and high-level algorithm development. The position requires experience across the entire machine learning stack, from low-level systems programming to complex software engineering, specifically addressing the technical challenge of optimizing frontier model efficiency.

What you'll do

  • Design, train, and adapt frontier models to improve efficiency and performance.
  • Conduct empirical studies to better understand the behavior of frontier models.
  • Develop prototypes to demonstrate the effectiveness of new models and algorithms.
  • Publish research papers and present findings at major academic conferences.
  • Collaborate with product teams to integrate research into Apple products.
  • Work across the full ML stack from low-level systems programming to high-level algorithm development.

What we're looking for

  • Significant experience building complete prototypes that achieve state-of-the-art performance.
  • A publication record at relevant conferences such as NeurIPS, ICML, ICLR, and COLM.
  • Comfort working across the entire ML research stack from low-level systems to high-level algorithms.
  • Solid software engineering skills and experience working with complex systems.
  • Fluency in Python.
  • Expertise in ML algorithms and best practices for deep learning systems.
  • Proficiency with ML modeling frameworks such as PyTorch and JAX.
  • A bachelor's, master's, or PhD degree in a relevant engineering field or equivalent experience.

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