Sr Applied Scientist, Health & Wellness (Health Tech)
Sr Applied Scientist, Health & Wellness (Health Tech)
Posted on :
14-07-2025
Employer Active
1 Vacancy
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Job Description
This is a unique opportunity to join a small high-impact team working on AI agents for health initiatives with a particular focus on language modeling and recommendation systems. You will collaborate with experts across domains to develop state-of-the-art AI solutions. Youll have the chance to work on projects that could significantly impact how individuals manage their daily health and long-term wellness goals.
If youre passionate about solving meaningful problems in healthcare through AI this role is for you. Technically youll work on large-scale data processing algorithm development and AI agent implementation. Youll have the chance to learn and innovate alongside healthcare experts.
In this early-stage initiative youll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.
Key job responsibilities
Architect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions from data pipelines to user interfaces. Spearhead best practices in AI engineering including testing and continuous improvement.
A day in the life
Youll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. Youll shape product features user experience and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
If youre passionate about solving meaningful problems in healthcare through AI this role is for you. Technically youll work on large-scale data processing algorithm development and AI agent implementation. Youll have the chance to learn and innovate alongside healthcare experts.
In this early-stage initiative youll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.
Key job responsibilities
Architect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions from data pipelines to user interfaces. Spearhead best practices in AI engineering including testing and continuous improvement.
A day in the life
Youll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. Youll shape product features user experience and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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