AIML - Applied Research Scientist, Health AI
Apple
AIML - Applied Research Scientist, Health AI
Job Description
We are looking for applied scientists with a passion for using AI to transform in-the-wild sensor data from the most worn wearable device into intelligent health & fitness experiences. You will join a close-knit team of deeply technical researchers and engineers focused on delivering groundbreaking machine learning & AI technologies. As a member of this team, you will use your experience with machine learning and artificial intelligence to tackle important problems to deliver the next generation of Apple health & fitness experiences. You will play a key role in defining, designing, implementing, and evaluating new AI models and algorithms. In this role, you will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide. Investigating innovative machine learning and artificial intelligence techniques for health data challenges Designing and implementing machine learning pipelines Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques Processing, cleaning, and verifying the integrity of data used for analysis Validating your findings using an experimental and iterative approach and effectively presenting back your findings
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- artificial intelligenceintermediate
- designing AI models and algorithmsintermediate
- implementing machine learning pipelinesintermediate
- statistical techniquesintermediate
- algorithmic techniquesintermediate
- visualization techniquesintermediate
- data processingintermediate
- data cleaningintermediate
- data verificationintermediate
- experimental approachintermediate
- iterative approachintermediate
- presenting findingsintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM) (experience)
- Strong interest in applying machine learning to health & fitness related problems and data (experience)
- Ability to distill vague product experiences into concrete problem definitions (experience)
- Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models. (experience)
- 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience (experience, 3 years)
- MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field (degree in phd in computer science)
Preferred Qualifications
- A drive to learn and master new technologies and techniques (degree)
- A passion for making methods robust and scalable (experience)
- 5+ years of practical experience building ML & AI models to tackle real-world problems (experience, 5 years)
- Excellent verbal and written communication and presentation skills (experience)
- Proficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch), and experience with data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.) (experience)
- Strong fundamentals in problem solving, algorithm design, and model building (experience)
- Passion for creating new technologies with high product impact (experience)
Responsibilities
- Investigating innovative machine learning and artificial intelligence techniques for health data challenges
- Designing and implementing machine learning pipelines
- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques
- Processing, cleaning, and verifying the integrity of data used for analysis
- Validating your findings using an experimental and iterative approach and effectively presenting back your findings
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Answer 10 quick questions to check your fit for AIML - Applied Research Scientist, Health AI @ Apple.
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AIML - Applied Research Scientist, Health AI
Apple
AIML - Applied Research Scientist, Health AI
Job Description
We are looking for applied scientists with a passion for using AI to transform in-the-wild sensor data from the most worn wearable device into intelligent health & fitness experiences. You will join a close-knit team of deeply technical researchers and engineers focused on delivering groundbreaking machine learning & AI technologies. As a member of this team, you will use your experience with machine learning and artificial intelligence to tackle important problems to deliver the next generation of Apple health & fitness experiences. You will play a key role in defining, designing, implementing, and evaluating new AI models and algorithms. In this role, you will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide. Investigating innovative machine learning and artificial intelligence techniques for health data challenges Designing and implementing machine learning pipelines Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques Processing, cleaning, and verifying the integrity of data used for analysis Validating your findings using an experimental and iterative approach and effectively presenting back your findings
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- artificial intelligenceintermediate
- designing AI models and algorithmsintermediate
- implementing machine learning pipelinesintermediate
- statistical techniquesintermediate
- algorithmic techniquesintermediate
- visualization techniquesintermediate
- data processingintermediate
- data cleaningintermediate
- data verificationintermediate
- experimental approachintermediate
- iterative approachintermediate
- presenting findingsintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM) (experience)
- Strong interest in applying machine learning to health & fitness related problems and data (experience)
- Ability to distill vague product experiences into concrete problem definitions (experience)
- Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models. (experience)
- 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience (experience, 3 years)
- MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field (degree in phd in computer science)
Preferred Qualifications
- A drive to learn and master new technologies and techniques (degree)
- A passion for making methods robust and scalable (experience)
- 5+ years of practical experience building ML & AI models to tackle real-world problems (experience, 5 years)
- Excellent verbal and written communication and presentation skills (experience)
- Proficiency training large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch), and experience with data analysis stacks (such as NumPy, SciPy, pandas, Spark, etc.) (experience)
- Strong fundamentals in problem solving, algorithm design, and model building (experience)
- Passion for creating new technologies with high product impact (experience)
Responsibilities
- Investigating innovative machine learning and artificial intelligence techniques for health data challenges
- Designing and implementing machine learning pipelines
- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques
- Processing, cleaning, and verifying the integrity of data used for analysis
- Validating your findings using an experimental and iterative approach and effectively presenting back your findings
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Applied Research Scientist, Health AI @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs