below marketmost similar roles pay hereabove market
This role pays more than
91%
of similar roles. Most pay
$202,800–$254,750
— the blue band above.
At the midpoint, this role pays about
$270k
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
3564 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2760 roles with salary data.
JOB TITLE: Machine Learning Engineer - Health AIML
The Machine Learning Engineer - Health AIML joins the Health AI team to solve real-world problems at the intersection of health, machine learning, and consumer products. In this role, you will design, implement, tune, and evaluate machine learning models and systems using software engineering, deep learning, and generative AI. You will work cross-functionally to apply engineering best practices and novel research techniques to unique data and high-impact products. The position requires expertise in generative models, natural language processing, and large language models. You will handle large-scale datasets and production applications to deliver state-of-the-art technologies. The work focuses on applying advanced machine learning and bioinformatics to create innovative health technologies that impact millions of users in a production environment.
What does a Machine Learning Engineer earn in California?
Median $236000 from 195 postings across 33 companies.
Design, implement, tune, and evaluate machine learning models and systems.
Solve complex problems involving unique data and high-impact health products.
Apply state-of-the-art generative AI technologies to real-world health problems.
Develop and deploy machine learning capabilities for large-scale production applications.
Implement engineering best practices and novel research techniques at the intersection of health and ML.
Apply deep learning and natural language processing to consumer products.
What we're looking for
7+ years of professional experience in industry or academia.
Experience leading a team and/or a proven track record of cross-functional collaboration to deliver systems with machine learning capabilities.
BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, Bioinformatics, or a related field (or equivalent qualification).
Ph.D. in Computer Science, Machine Learning, Bioinformatics, or a related field (preferred).
Strong background in generative models, natural language processing (NLP), and large language models (LLMs) (preferred).
5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications (preferred).
Machine Learning
Deep Learning
Generative AI
Large Language Models
NLP
PyTorch
TensorFlow
Jax
Huggingface
RAG
Prompt Tuning
Agentic Systems
Healthcare Data
Machine Learning
Deep Learning
Generative AI
Large Language Models
NLP
PyTorch
TensorFlow
Jax
Huggingface
RAG
Prompt Tuning
Agentic Systems
Healthcare Data
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
Machine Learning
Deep Learning
Large Language Models
Natural Language Processing
Generative AI
PyTorch
TensorFlow
Keras
Information Retrieval
Prompt Engineering
Word Embeddings
Online Learning
OpenGL
Metal
OpenCL
Vulcan
iOS
MacOS
Data Mining
Machine Learning
Deep Learning
Large Language Models
Natural Language Processing
Generative AI
PyTorch
TensorFlow
Keras
Information Retrieval
Prompt Engineering
Word Embeddings
Online Learning
OpenGL
Metal
OpenCL
Vulcan
iOS
MacOS