Research Scientist/Engineer, LLM Efficiency

Apple Inc

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,700–$324,800 / yr
Posted: 90 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Above market

How this pay compares to similar roles

Similar $221k

This role $255k

$147k $344k

below market most similar roles pay here above market

This role pays more than 83% of similar roles. Most pay $187,850–$254,750 — the blue band above. At the midpoint, this role pays about $255k versus about $221k for comparable roles.

Based on 240 similar postings.

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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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Research Scientist/Engineer, LLM Efficiency

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Research Scientist/Engineer - LLM Efficiency will join a team of machine learning researchers and engineers to create innovations in the efficiency of frontier models, specifically large language models and diffusion models. The role involves designing, training, and adapting these frontier models to improve performance while conducting empirical studies to deepen the understanding of these systems. Key responsibilities include developing prototypes to demonstrate new algorithms, collaborating with product teams to ship research, and engaging with the academic community through publications. Candidates must demonstrate expertise in ML algorithms, deep learning systems, and low-level systems programming. Required technical skills include fluency in Python and proficiency with modeling frameworks such as PyTorch and JAX. The work focuses on solving technical challenges related to model efficiency and performance.

Skills

Python PyTorch JAX Machine Learning Deep Learning LLMs Diffusion Models Systems Programming Algorithm Development ML Modeling NeurIPS ICML ICLR COLM

What you'll do

Design, train, and adapt frontier models to improve efficiency and performance.
Conduct empirical studies to deepen the understanding of frontier models.
Develop prototypes to demonstrate the effectiveness of new models and algorithms.
Publish research papers and present work to the academic community.
Collaborate with product teams to ship research into production.
Work across the ML research stack from low-level systems to high-level algorithms.

What we're looking for

Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
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 programming to high-level algorithm development.
Solid software engineering skills and experience working with complex systems.
Fluency in Python.
Expertise in ML algorithms and best practices for working with deep learning systems.
Proficiency with ML modeling frameworks such as PyTorch and JAX.
A bachelor's, master's, or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience (preferred).

Research Scientist/Engineer

Adobe

Seattle, WA 39 days ago

Artificial Intelligence Machine Learning Computer Vision Image Processing Python Physically Based Rendering 3D Scene Data Image Generation Image Restoration Segmentation Statistics Scene Semantic Understanding Light Transport Illumination Transfer Appearance Editing

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