AI & Emerging technologies

Machine Learning Engineer - Health AIML

Apple

Cambridge · Cambridgeshire · United Kingdom

Overview

In this role you will design, implement, and evaluate ML models and systems in the Health AI team at Apple, tackling real-world health problems with state-of-the-art generative AI. You will work closely with researchers, engineers, and product teams to deliver impactful, customer-facing features at scale. You’ll apply advanced ML techniques to unique health data and drive cross-functional collaboration. This is an opportunity to shape health-focused AI technologies that touch millions of users.

Pay / Benefits
  • Comprehensive medical and dental coverage
  • retirement benefits
  • stock programs for employees
  • education reimbursement (tuition)
  • relocation support
  • discounted products and free services
Responsibilities
  • Design, implement, tune, and evaluate ML models and systems for health-focused products
  • Tackle ambitious problems with unique data and high impact
  • Apply engineering best practices and novel research techniques in health, ML, and consumer products
  • Work cross-functionally to deliver customer-facing features with ML capabilities in production
  • Contribute to state-of-the-art generative AI technologies
  • Collaborate with research scientists, software engineers, and product teams
Key requirements
  • 10+ years of software development experience
  • Experience leading a team and/or cross-functional delivery of ML-powered features to production
  • BS/MS/Ph.D. in Computer Science, Computer Engineering, ML or related field
  • Experience with healthcare data, products, and workflows
  • Ability to thrive in a fast-paced, uncertain environment
  • Proven track record of collaborating in diverse teams and building innovative products
  • interpersonal skills
  • cross-functional collaboration
  • adaptability
  • generative models, NLP, and large language models (LLMs)
  • state-of-the-art ML/DL on large-scale datasets and production
  • TensorFlow, PyTorch, Jax, Huggingface

Reference: WJ-747_31165751

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