Machine Learning Engineer - Health AIML

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$212,000–$386,300 / yr
Posted
42 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $299k
$146k most similar roles pay here $412k

This role pays more than 94% of similar roles. Most pay $177,825–$249,812 — the shaded band above. At the midpoint, this role pays about $299k 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, deep learning, and generative AI to design, implement, tune, and evaluate complex models and systems that address real-world health challenges. Your day-to-day responsibilities include collaborating with cross-functional teams to integrate cutting-edge research techniques into high-impact consumer products, working extensively with large-scale datasets and production applications. You will need proficiency in modern machine learning frameworks like TensorFlow, PyTorch, Jax, and Huggingface, as well as experience with healthcare data and workflows, making this role ideal for those passionate about developing innovative health technologies at scale.

Skills

Python TensorFlow PyTorch Jax Huggingface Kubernetes Docker CI/CD PostgreSQL AWS NLP LLMs Generative_Models RAG Memory_Management Prompt_Tuning

What you'll do

  • Design and implement machine learning models and systems using deep learning techniques.
  • Evaluate the performance of machine learning models on unique health-related data sets.
  • Apply engineering best practices to integrate novel research into consumer-facing health products.
  • Collaborate with cross-functional teams to deliver innovative features in production environments.
  • Develop and troubleshoot large-scale generative AI models for healthcare applications.

What we're looking for

  • 10+ years of software development experience with machine learning expertise.
  • Experience leading or collaborating cross-functionally on customer-facing ML features.
  • BS/MS/Ph.D. in Computer Science, Machine Learning, or related fields.
  • Strong background in generative models and natural language processing (NLP).
  • Proficiency in developing large-scale ML models using TensorFlow, PyTorch, etc.
  • Experience with healthcare data, products, and workflows preferred.
  • Ability to work effectively in a fast-paced environment with changing requirements.

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 23 days ago $212,000–$318,400
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
Save

Machine Learning Engineer

Apple Inc

Cupertino, CA 14 days ago $147,400–$220,900
Python PyTorch TensorFlow LLMs GPT BERT LangChain Supervised_learning Unsupervised_learning Reinforcement_learning RAG Text-to-SQL GenAI_APIs Model_deployment_Pods CI/CD
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

Machine Learning Engineer

Q2

Cary, North Carolina 36 days ago
Python PyTorch TensorFlow scikit-learn Git AWS CI/CD MLOps Docker Kubernetes Prometheus Grafana PostgreSQL Typescript
Hybrid
Save