Machine Learning Engineer - Health AIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$212,000–$318,400 / yr
Posted
23 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $265k
$154k most similar roles pay here $336k

This role pays more than 81% of similar roles. Most pay $177,825–$249,812 — the shaded band above. At the midpoint, this role pays about $265k versus about $214k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Machine Learning Engineer - Health AIML

Apply Now Log in to save

As a senior Machine Learning Engineer on Apple's Health AI team, you will leverage your expertise in software engineering, machine learning, and generative AI to design and implement advanced models and systems that address complex health-related challenges. Your day-to-day responsibilities include tuning and evaluating machine learning models, collaborating with cross-functional teams, and applying cutting-edge research techniques to develop innovative health technologies. The role requires proficiency in Python, experience with deep learning frameworks like TensorFlow or PyTorch, and a strong background in generative models and NLP. Ideal candidates have 7+ years of professional experience, including leadership roles, and hold advanced degrees in relevant fields such as Computer Science, Machine Learning, or Bioinformatics.

Skills

Python TensorFlow PyTorch Keras Scikit-learn Pandas Numpy Docker CI/CD AWS Azure Google Cloud Platform PostgreSQL MongoDB Git Jupyter Notebook Swagger RESTful APIs GraphQL

What you'll do

  • Design and implement advanced machine learning models for health-related products.
  • Tune and evaluate machine learning systems using unique data sets and technologies.
  • Apply novel research techniques at the intersection of Health, ML, and consumer products.
  • Collaborate on cross-functional teams to deliver innovative health technology solutions.
  • Lead the development of state-of-the-art generative AI technologies in healthcare applications.

What we're looking for

  • At least 7 years of professional experience in industry or academia.
  • Experience leading a team or demonstrating cross-functional collaboration success.
  • BS/MS/Ph.D. in Computer Science, Machine Learning, Bioinformatics, or related fields.
  • Strong background in generative models and natural language processing (NLP).
  • Hands-on experience with state-of-the-art machine learning on large-scale datasets.
  • Proven ability to design, implement, tune, and evaluate ML models and systems.

Related searches

More Machine Learning Engineer jobs Machine Learning Engineer jobs in Cupertino All jobs at Apple Inc

More like this

Similar roles

Machine Learning Engineer - Health AIML

Apple Inc

Cupertino, CA 42 days ago $212,000–$386,300
Python TensorFlow PyTorch Jax Huggingface Kubernetes Docker CI/CD PostgreSQL AWS NLP LLMs Generative_Models RAG Memory_Management Prompt_Tuning
Save

Machine Learning Engineer

Adobe

San Jose 2 days ago $161,700–$234,150
Python AWS GCP Azure MLOps CI/CD Docker Kubernetes Prometheus Terraform PostgreSQL Git Agentic systems Multi-agent orchestration LLM-as-a-judge Retrieval-Augmented Generation RAG NLP pipelines
Save

Machine Learning Engineer

Motorola Solutions

Los Angeles, CA 54 days ago $120,000–$160,000
Python TensorFlow PyTorch scikit-learn MATLAB C++ signal processing wireless communication MIMO OFDM SDRs GPU acceleration embedded machine learning real-time systems adaptive modulation beamforming cognitive radio techniques 3GPP IEEE 802.11/15 military waveforms
Hybrid
Save

Machine Learning Engineer

Q2

Austin, TX 44 days ago
Python TensorFlow PyTorch scikit-learn R Java cloud platforms scalable computing resources machine learning pipelines data analysis statistics optimization probability theory experimental methodologies CI/CD
Hybrid
Save