Generative AI Scientist - Health
Apple
Generative AI Scientist - Health
Job Description
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! We are looking for an applied scientist with deep expertise in health applications of machine learning, from the details of challenging health data modalities to the nuances of meaningful evaluation for health interventions. In this role, you will be at the forefront of developing, evaluating, and improving generative models for real-world health and wellbeing applications. You’ll have the opportunity to work in a fast-growing team of highly skilled scientists and engineers to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.
Locations
- Cupertino, California, United States 95014
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- expertise in health applications of machine learningintermediate
- proficiency in challenging health data modalitiesintermediate
- experience with meaningful evaluation for health interventionsintermediate
- developing generative modelsintermediate
- evaluating generative modelsintermediate
- improving generative modelsintermediate
- developing generative systemsintermediate
- achieving quality in generative systemsintermediate
- achieving reliability in generative systemsintermediate
- alignment with human intentintermediate
Required Qualifications
- MS or PhD in a detailed quantitative field such as computer science, mathematics, statistics, economics, health informatics, or similar, and 5+ years of relevant proven experience (experience, 5 years)
- Technical expertise and hands-on experience crafting and evaluating machine learning solutions for applications in health (experience)
- Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection (e.g. user studies, annotation workflows, A/B tests). (experience)
- Proficiency using python and deep learning frameworks (e.g. PyTorch) in a peer-reviewed environment (experience)
- Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables) (experience)
Preferred Qualifications
- Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture (experience)
- Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding (experience)
- Hands-on experience developing complex generative AI systems in an applied setting, eg experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback. (experience)
- Familiarity with privacy-preserving ML techniques is a plus (experience)
Responsibilities
- We are looking for an applied scientist with deep expertise in health applications of machine learning, from the details of challenging health data modalities to the nuances of meaningful evaluation for health interventions. In this role, you will be at the forefront of developing, evaluating, and improving generative models for real-world health and wellbeing applications. You’ll have the opportunity to work in a fast-growing team of highly skilled scientists and engineers to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.
Tags & Categories
Answer 10 quick questions to check your fit for Generative AI Scientist - Health @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Generative AI Scientist - Health
Apple
Generative AI Scientist - Health
Job Description
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! We are looking for an applied scientist with deep expertise in health applications of machine learning, from the details of challenging health data modalities to the nuances of meaningful evaluation for health interventions. In this role, you will be at the forefront of developing, evaluating, and improving generative models for real-world health and wellbeing applications. You’ll have the opportunity to work in a fast-growing team of highly skilled scientists and engineers to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.
Locations
- Cupertino, California, United States 95014
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- expertise in health applications of machine learningintermediate
- proficiency in challenging health data modalitiesintermediate
- experience with meaningful evaluation for health interventionsintermediate
- developing generative modelsintermediate
- evaluating generative modelsintermediate
- improving generative modelsintermediate
- developing generative systemsintermediate
- achieving quality in generative systemsintermediate
- achieving reliability in generative systemsintermediate
- alignment with human intentintermediate
Required Qualifications
- MS or PhD in a detailed quantitative field such as computer science, mathematics, statistics, economics, health informatics, or similar, and 5+ years of relevant proven experience (experience, 5 years)
- Technical expertise and hands-on experience crafting and evaluating machine learning solutions for applications in health (experience)
- Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection (e.g. user studies, annotation workflows, A/B tests). (experience)
- Proficiency using python and deep learning frameworks (e.g. PyTorch) in a peer-reviewed environment (experience)
- Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables) (experience)
Preferred Qualifications
- Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture (experience)
- Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding (experience)
- Hands-on experience developing complex generative AI systems in an applied setting, eg experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback. (experience)
- Familiarity with privacy-preserving ML techniques is a plus (experience)
Responsibilities
- We are looking for an applied scientist with deep expertise in health applications of machine learning, from the details of challenging health data modalities to the nuances of meaningful evaluation for health interventions. In this role, you will be at the forefront of developing, evaluating, and improving generative models for real-world health and wellbeing applications. You’ll have the opportunity to work in a fast-growing team of highly skilled scientists and engineers to develop generative systems that achieve the highest levels of quality, reliability, and alignment with human intent.
Tags & Categories
Answer 10 quick questions to check your fit for Generative AI Scientist - Health @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs