Applied Sensing & Health AI and Machine Learning Scientist
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Job Location:
San Diego, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
You will help ship interactive features that impact millions of users on a daily basis. You take responsibility; you demonstrate creativity initiative and the ability to work to deadlines. You feel a personal stake in the product you ship. You thrive in uncertainty and strive to bring order to it. You keep your eye on the ball; you build strong relationships; and you are constantly looking to improve yourself and your team.
- MS or PhD in a quantitative modeling and data science discipline such as machine learning computer science statistics/biostatistics health informatics or similar
- Strong background in developing deep learning foundation and/or generative AI models for multiple data modalities (time series images language etc.) for applications in health
- Experience applying a scientific approach to machine learning modeling from defining hypotheses designing experiments testing failure analysis and guiding data collection in user studies
- Strong working knowledge of Python Spark or equivalent and running experiments with data at scale
- Hybrid scientist/engineer who can do modeling data pipelining and/or on-device implementation
- Experience developing generative AI systems such as large language models in an applied setting including post-training techniques like supervised fine-tuning adapter training and reinforcement from human feedback
- Excellent interpersonal skills and communication (written and verbal)
- Experience working with cross-functional and/or interdisciplinary teams
- Familiarity with privacy-preserving ML techniques is a plus
Key Skills
- CNC
- Computer Software
- Equity Research
- Investment
- ITI
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
