Applied Scientist II, Special Projects
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 company’s Think Big leadership principle to the limits. If you’re 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 responsibilitiesIn 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 initiativesYou’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A day in the lifeYou 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 teamWe represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building models for business application experienceintermediate
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
- - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
Required Qualifications
- - 3+ years of building models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
Preferred Qualifications
- - Experience using Unix/Linux (experience)
- - Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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
- You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions.
Documents
Tags & Categories
Applied Scientist II, Special Projects
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 company’s Think Big leadership principle to the limits. If you’re 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 responsibilitiesIn 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 initiativesYou’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions. A day in the lifeYou 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 teamWe represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
Locations
- United States, WA, Seattle, Seattle, WA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
180,000 - 280,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of building models for business application experienceintermediate
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
- - Experience in patents or publications at top-tier peer-reviewed conferences or journalsintermediate
- - Experience programming in Java, C++, Python or related languageintermediate
- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
Required Qualifications
- - 3+ years of building models for business application experience (experience, 3 years)
- - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
- - Experience in patents or publications at top-tier peer-reviewed conferences or journals (experience)
- - Experience programming in Java, C++, Python or related language (experience)
- - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
Preferred Qualifications
- - Experience using Unix/Linux (experience)
- - Experience in professional software development (experience)
- Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)
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
- You’ll need a strong background in AI/ML, proven leadership skills, and the ability to translate complex concepts into actionable plans. You’ll also need to effectively translate research findings into practical solutions.