Machine Learning Engineer - Health AIML

Apple Inc

Quick summary

Work type
On-site
Location
Cambridge, MA
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 machine learning models and systems that address complex health-related challenges. Your day-to-day responsibilities include leveraging deep learning and generative AI technologies to develop innovative solutions for high-impact products, requiring proficiency in TensorFlow, PyTorch, Jax, and Huggingface. You will also collaborate across functions to apply engineering best practices and cutting-edge research techniques at the intersection of health data, ML, and consumer products. Ideal candidates have a strong background in generative models, NLP, and large language models, along with experience working on healthcare data and workflows, ensuring you can thrive in a fast-paced environment while contributing to diverse teams.

What you'll do

  • Design and implement machine learning models to solve complex health-related problems.
  • Evaluate the performance of ML systems using unique data sets in high-impact products.
  • Apply engineering best practices and novel research techniques at the Health-Machine Learning intersection.
  • Collaborate with cross-functional teams to deliver customer-facing features with ML capabilities.
  • Develop and troubleshoot large-scale machine learning models using modern packages like TensorFlow or PyTorch.

What we're looking for

  • Over 10 years of software development experience in machine learning and engineering.
  • Proven ability to lead teams or collaborate cross-functionally for customer-facing ML features.
  • Strong background in generative models, NLP, and large language models.
  • Experience with state-of-the-art ML applied to large-scale datasets and production applications.
  • Proficiency in developing and working with large-scale models using TensorFlow, PyTorch, Jax, Huggingface.
  • Expertise in building and troubleshooting modern agentic systems including prompt tuning and memory management.

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