below marketmost similar roles pay hereabove market
This role pays less than
56%
of similar roles. Most pay
$202,800–$254,750
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$229k
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.
JOB TITLE: Machine Learning Engineer, SIML
The Machine Learning Engineer, SIML joins the Intelligent System Experiences team to develop core modeling technology for Genmoji, Image Playground, and Image Wand. This role involves building and shipping state-of-the-art generative models, specifically focusing on diffusion and auto-regressive technologies. You will work on web-scale datasets, distributed training of foundation models, application-specific adapters, and on-device optimizations. The position requires training and fine-tuning large-scale image, video, audio, and multimodal foundation models to create compelling user experiences. Key technical requirements include proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX, along with solid ML fundamentals and experience in applied research. The work addresses the technical challenge of translating cutting-edge generative AI research into functional, high-impact features within a unique hardware and software ecosystem.
What does a Machine Learning Engineer earn in California?
Median $235750 from 200 postings across 34 companies.
Train and fine-tune large-scale image, video, audio, and multimodal foundation models.
Develop generative models based on diffusion and auto-regressive technologies.
Implement on-device optimizations for generative AI models.
Train and adapt application-specific adapters for foundation models.
Apply the latest AI research to develop proprietary, experimental ideas for the Apple ecosystem.
Manage web-scale datasets for distributed training of foundation models.
Ship state-of-the-art modeling technology for products like Genmoji and Image Playground.
What we're looking for
M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, Applied Mathematics, or equivalent experience.
2+ years of experience working on training and fine-tuning modern image or video generation models.
Experience working in an academic or industrial research environment.
Proficiency in an ML framework such as PyTorch, TensorFlow, or JAX.
Excellent communication skills and the ability to drive clarity in ambiguous circumstances.
Track record of strong industrial research, including delivery of complex projects or publications in top-tier venues (preferred).
Python
PyTorch
Deep Learning
Vision-Language Models
Multimodal Large Language Models
Natural Language Processing
Computer Vision
Neural Networks
Model Training
Machine Learning
Large Language Models (LLMs)
Large Multimodal Models (LMMs)
PyTorch
TensorFlow
JAX
Transformers
Mixture-of-Experts (MoE)
Distributed Data Processing
Computer Vision
Natural Language Processing
Synthetic Data Generation
Production-scale Inference
Data Curation
High Performance Computing
Python
C++
PyTorch
CUDA
GPU Kernel Optimization
Distributed Training
Data Pipelines
Inference Serving
Computer Architecture
Model Deployment
Data Ingestion
Profiling
Debugging
Claude