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Apple Generative AI Scientist - Health United States, California, Cupertino 1740888
31.03.2025
In this role, you will be at the forefront of developing, evaluating and improving generative models for real-world health/wellbeing applications! You will innovate on innovative techniques in planning, memory representation, and reinforcement learning with human feedback to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.
- Deep technical expertise in machine learning and algorithm design, including at least one of: large language or multimodal model architectures, memory representation, planning, knowledge retrieval, natural language understanding, reinforcement learning.
- Hands-on experience developing complex ML systems in an applied setting, including post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback.
- Proficiency using python and deep learning frameworks (e.g. PyTorch) in a peer-reviewed environment
- Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture
- Experience in building consumer digital health and wellness products
- BS degree or equivalent experience
- PhD in a field such as computer science, mathematics, statistics, and at least 3 years of proven experience
- Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, crafting experimentation strategies, and guiding data generation / collection (e.g. user studies, annotation workflows, A/B tests).
- Knowledge of health informatics or experience with sophisticated health data sources (e.g. EHRs, medical ontologies, wearables)
- Familiarity with privacy-preserving ML techniques
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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