Machine Learning Engineer - Health AIML

Apple Inc

Quick summary

Work type
On-site
Location
Boulder, CO
Salary
$190,700–$348,000 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $269k
$150k most similar roles pay here $369k

This role pays more than 88% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $269k versus about $224k 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 1798 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1459 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer - Health AIML

As a senior machine learning engineer at Apple’s Health AI team, you will work closely with research scientists and software engineers to design, implement, and evaluate advanced machine learning models and systems. Your day-to-day responsibilities include applying state-of-the-art generative AI technologies to solve complex health-related problems using unique data sets and high-impact products. You will leverage modern tools like TensorFlow, PyTorch, Jax, and Huggingface to develop large-scale models and troubleshoot agentic systems, ensuring seamless integration with healthcare workflows. Ideal candidates have a strong background in generative models, NLP, and LLMs, along with extensive experience leading cross-functional teams and delivering customer-facing features in production environments. This role demands proficiency in software engineering, deep learning, and the ability to thrive in a fast-paced, collaborative environment focused on innovative health technology solutions.

What you'll do

  • Design and implement machine learning models to solve complex health-related problems.
  • Evaluate the performance of machine learning systems using unique data sets.
  • Apply novel research techniques at the intersection of Health, ML, and consumer products.
  • Develop state-of-the-art generative AI technologies for high-impact health products.
  • Work with large-scale datasets and production applications in healthcare domains.
  • Collaborate cross-functionally to deliver customer-facing features with machine learning capabilities.
  • Troubleshoot modern agentic systems including prompt tuning and multi-agent interactions.

What we're looking for

  • Over 10 years of software development experience with a focus on machine learning.
  • Proven ability to lead teams or collaborate cross-functionally in delivering ML features.
  • Strong background in generative models, NLP, and large language models.
  • Experience applying state-of-the-art ML techniques to large-scale datasets and production systems.
  • Proficiency in developing and troubleshooting modern agentic systems using advanced ML packages.

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