below marketmost similar roles pay hereabove market
This role pays more than
84%
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.
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
Research Scientist/Engineer - LLM Efficiency will join a team of machine learning researchers and engineers to create breakthrough innovations in frontier model efficiency. The role focuses on improving the performance of large language models and diffusion models. Key responsibilities include designing, training, and adapting frontier models, conducting empirical studies, and developing prototypes to demonstrate new algorithms. The successful candidate will engage with the academic community by publishing papers and collaborating with product teams to ship research. Required skills include fluency in Python, proficiency with PyTorch and JAX, and expertise in ML algorithms and deep learning systems. Candidates must demonstrate experience across the entire machine learning research stack, from low-level systems programming to high-level algorithm development, to solve complex problems in model efficiency.
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 work to the academic community.
Collaborate with product teams to ship research into production.
Work across the ML research stack from low-level systems programming 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).
Multimodal LLMs
Python
PyTorch
JAX
Computer Vision
Machine Learning
Model Training
Fine-tuning
Agentic AI
Large-scale Model Evaluation
Data Definition
Machine Perception
AI Code Development Tools
Multimodal LLMs
Python
PyTorch
JAX
Computer Vision
Machine Learning
Model Training
Fine-tuning
Agentic AI
Model Evaluation
Data Definition
Machine Perception
Research
CVPR
ICCV
ECCV
NeurIPS
ICML
ICLR
LLMs
Natural Language Processing
Python
PyTorch
JAX
Reinforcement Learning
Distributed Training
Machine Translation
Bash
Java
C
C++
Data Filtering
Curriculum Learning
Post-training
Evaluation Methodologies