Gen AI Research Engineer

Apple • Cupertino, CA

5h

About The Position

The Health Personalization team builds outstanding technologies to support
AI-driven health experiences that provide our users with understandable,
actionable information about their health and wellbeing, and support them to
achieve their health and wellness goals. As part of the larger Sensor Software &
Prototyping team, we take a multimodal approach using a variety of sensors and
user data signals across hardware platforms, such as camera, wearables, and
natural language user input. We are committed to building deeply personal
features that understand, anticipate, and adapt to users’ behaviors and uphold
Apple’s deep commitment to privacy as a fundamental human right. Our team values
expertise, innovation, and inclusivity. Come join us!

DESCRIPTION

In this role, you will develop, evaluate, and continuously improve Generative AI
systems for real-world health and wellbeing applications. You’ll apply deep
expertise in health-focused machine learning alongside rigorous evaluation
methodology. Your work will directly shape customer-facing health products by
turning evaluation results into scalable pipelines that drive data-informed
model improvements across the full ML lifecycle. You’ll collaborate with a
fast-growing team of top scientists and engineers to build generative systems
that meet the highest standards of quality, reliability, and alignment with
human intent.

Requirements

• BS and a minimum of 3 years relevant industry experience
• Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices.
• Technical expertise and hands-on experience crafting and evaluating machine learning solutions for user-facing applications.
• Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection / evaluation (e.g. user studies, annotation workflows, A/B tests).

Nice To Haves

• MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields.
• Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture.
• Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding.
• Hands-on experience developing complex generative AI systems in an applied setting, e.g. experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback.
• Experience with LLM-based evaluation systems and rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis.
• Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products.
• Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables)
• Experience with building and deploying performant and scalable systems (full-stack)

Responsibilities

• Develop, evaluate, and continuously improve Generative AI systems for real-world health and wellbeing applications.
• Apply deep expertise in health-focused machine learning alongside rigorous evaluation methodology.
• Shape customer-facing health products by turning evaluation results into scalable pipelines that drive data-informed model improvements across the full ML lifecycle.
• Collaborate with a fast-growing team of top scientists and engineers to build generative systems that meet the highest standards of quality, reliability, and alignment with human intent.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level