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Apple AIML- Applied Research Scientist Health AI United States, California, Cupertino 806791298
Yesterday
Investigating innovative machine learning and artificial intelligence techniques for health data challengesDesigning and implementing machine learning pipelinesModeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniquesProcessing, cleaning, and verifying the integrity of data used for analysisValidating your findings using an experimental and iterative approach and effectively presenting back your findings
- Expertise in at least one area of machine learning and artificial intelligence (e.g., self-supervised learning, multi-modal ML, model optimization, NLP, LLM)
- Strong interest in applying machine learning to health & fitness related problems and data
- Ability to distill vague product experiences into concrete problem definitions
- Experience using a programming language (Python, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models.
- 3+ years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience
- MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field
- A drive to learn and master new technologies and techniques
- A passion for making methods robust and scalable
- 5+ years of practical experience building ML & AI models to tackle real-world problems
- Excellent verbal and written communication and presentation skills
- 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.)
- Strong fundamentals in problem solving, algorithm design, and model building
- Passion for creating new technologies with high product impact
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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