This role pays more than
89%
of similar roles. Most pay
$192,050–$254,750
— the shaded band above.
At the midpoint, this role pays about
$270k
versus about
$223k
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
2000 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1613 roles with salary data.
Machine Learning Engineer - Health AIML joins the Health AI team, a technical group focused on integrating machine learning and health science. In this role, you will design, implement, tune, and evaluate machine learning models and systems while solving ambitious problems involving unique data and high-impact products. You will work at the intersection of health, machine learning, and consumer products to apply engineering best practices and novel research techniques. The core responsibilities involve utilizing your expertise in software engineering, deep learning, and generative AI to develop state-of-the-art technologies. Key technical competencies include experience with large language models, natural language processing, and deep learning applied to large-scale datasets or production applications. This position addresses complex challenges within the health domain by leveraging advanced machine learning capabilities to create innovative solutions for millions of users.
What does a Machine Learning Engineer earn in California?
Median $246150 from 178 postings across 30 companies.
Design, implement, and tune machine learning models and systems for health products.
Develop and evaluate state-of-the-art generative AI technologies.
Apply deep learning techniques to solve complex problems involving unique health data.
Implement natural language processing and large language model capabilities into production applications.
Scale machine learning models to handle large-scale datasets.
Integrate novel research techniques with engineering best practices for consumer products.
Deliver high-impact systems that integrate machine learning with health science.
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, or PhD 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
Natural Language Processing
Large Language Models
TensorFlow
PyTorch
Jax
Huggingface
RAG
Prompt Tuning
Agentic Systems
Software Engineering
Machine Learning
Deep Learning
Generative AI
Natural Language Processing
Large Language Models
TensorFlow
PyTorch
Jax
Huggingface
RAG
Prompt Tuning
Agentic Systems
Software Engineering
Machine Learning
Deep Learning
Generative AI
Natural Language Processing
Large Language Models
TensorFlow
PyTorch
Jax
Huggingface
RAG
Prompt Tuning
Agentic Systems
Software Engineering
LLM
PyTorch
TensorFlow
JAX
Transformers
MoE
Computer Vision
Natural Language Processing
Distributed Data Processing
Machine Learning
Deep Learning
OCR
Synthetic Data Generation
Data Curation
High Performance Computing