Applied Scientist II, Special Projects
Applied Scientist II, Special Projects
Posted on :
14-08-2025
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1 Vacancy
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Job Description
Innovators wanted! Are you an entrepreneur A builder A dreamer This role is part of an Amazon Special Projects team that takes the companys Think Big leadership principle to the limits. If youre interested in innovating at scale to address big challenges in the world this is the team for you.
As an Applied Scientist on our team you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive flexible and able to succeed within an open collaborative entrepreneurial startup-like environment. At the forefront of both academic and applied research in this product area you have the opportunity to work together with a diverse and talented team of scientists engineers and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes.
Key job responsibilities
In this role you will:
Design and implement novel AI/ML solutions for complex healthcare challenges
Drive advancements in machine learning and data science
Balance theoretical knowledge with practical implementation
Work closely with customers and partners to understand their requirements
Navigate ambiguity and create clarity in early-stage product development
Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions
Establish best practices for ML experimentation evaluation development and deployment
Partner with leadership to define roadmap and strategic initiatives
Youll need a strong background in AI/ML proven leadership skills and the ability to translate complex concepts into actionable plans. Youll also need to effectively translate research findings into practical solutions.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data generate insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
About the team
We represent Amazons ambitious vision to solve the worlds most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space leveraging Amazons scale and technological expertise. We operate with the agility of a startup while backed by Amazons resources and operational excellence. Were looking for builders who are excited about working on ambitious undefined problems and are comfortable with ambiguity.
- MS or PhD in Computer Science Engineering Machine Learning Statistics Biostatistics or related quantitative field
- Experience with programming languages such as Python Java C
- Experience with modern ML frameworks (PyTorch TensorFlow etc.)
- Expert knowledge of machine learning deep learning and predictive modeling; solid understanding of large language models.
- 3 years of industry experience in applied machine learning or related technical field
- Expertise in developing and deploying production ML systems
- Track record of delivering complex ambiguous projects from concept to production
- Experience in deep learning models for healthcare
- Strong communication skills
- Ability to translate complex technical concepts to stakeholders
- Experience presenting to senior executives
- History of successful collaboration with cross functional product engineering and business teams
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 $136000/year in our lowest geographic market up to $223400/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.
As an Applied Scientist on our team you will focus on building state-of-the-art ML models for healthcare. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive flexible and able to succeed within an open collaborative entrepreneurial startup-like environment. At the forefront of both academic and applied research in this product area you have the opportunity to work together with a diverse and talented team of scientists engineers and product managers and collaborate with other teams. This role offers a unique opportunity to work on projects that could fundamentally transform healthcare outcomes.
Key job responsibilities
In this role you will:
Design and implement novel AI/ML solutions for complex healthcare challenges
Drive advancements in machine learning and data science
Balance theoretical knowledge with practical implementation
Work closely with customers and partners to understand their requirements
Navigate ambiguity and create clarity in early-stage product development
Collaborate with cross-functional teams while fostering innovation in a collaborative work environment to deliver impactful solutions
Establish best practices for ML experimentation evaluation development and deployment
Partner with leadership to define roadmap and strategic initiatives
Youll need a strong background in AI/ML proven leadership skills and the ability to translate complex concepts into actionable plans. Youll also need to effectively translate research findings into practical solutions.
A day in the life
You will solve real-world problems by getting and analyzing large amounts of data generate insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the Special Projects organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
About the team
We represent Amazons ambitious vision to solve the worlds most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space leveraging Amazons scale and technological expertise. We operate with the agility of a startup while backed by Amazons resources and operational excellence. Were looking for builders who are excited about working on ambitious undefined problems and are comfortable with ambiguity.
- MS or PhD in Computer Science Engineering Machine Learning Statistics Biostatistics or related quantitative field
- Experience with programming languages such as Python Java C
- Experience with modern ML frameworks (PyTorch TensorFlow etc.)
- Expert knowledge of machine learning deep learning and predictive modeling; solid understanding of large language models.
- 3 years of industry experience in applied machine learning or related technical field
- Expertise in developing and deploying production ML systems
- Track record of delivering complex ambiguous projects from concept to production
- Experience in deep learning models for healthcare
- Strong communication skills
- Ability to translate complex technical concepts to stakeholders
- Experience presenting to senior executives
- History of successful collaboration with cross functional product engineering and business teams
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 $136000/year in our lowest geographic market up to $223400/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.
Employment Type
Full-Time
Key Skills
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