Applied Scientist, Applied AI Solutions
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
About us
As part of the AWS Applied AI Solutions organization our vision is to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazons real-world experience with state-of-art AI to create opinionated turnkey solutions that are no-brainers to buy and easy to use.
Were building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every dayputting AI to work to deliver better customer experiences operational excellence and faster innovation. Were a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle youll fit right in.
The Role
Were seeking a talented Applied Scientist with expertise in large language models agentic systems and foundational models. You will be responsible for building the state-of-art multi-agent system using a handful of methods including fine-tunning reinforcement learning etc. Youll accelerate our customer-facing features contribute to our collaborative and innovative culture and bring state-of-art applied research that raises the bar for the entire team.
Key job responsibilities
Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production
Build optimize and deploy ML models while collaborating with software engineers for productionization
Research innovative machine learning approaches and identify new opportunities for GenAI applications
Perform hands-on analysis and modeling of large datasets to develop actionable insights
Establish scalable automated processes for data analysis model development and validation
Present results to senior leadership and collaborate with cross-functional teams
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
As part of the AWS Applied AI Solutions organization our vision is to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazons real-world experience with state-of-art AI to create opinionated turnkey solutions that are no-brainers to buy and easy to use.
Were building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every dayputting AI to work to deliver better customer experiences operational excellence and faster innovation. Were a fast-moving scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle youll fit right in.
The Role
Were seeking a talented Applied Scientist with expertise in large language models agentic systems and foundational models. You will be responsible for building the state-of-art multi-agent system using a handful of methods including fine-tunning reinforcement learning etc. Youll accelerate our customer-facing features contribute to our collaborative and innovative culture and bring state-of-art applied research that raises the bar for the entire team.
Key job responsibilities
Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production
Build optimize and deploy ML models while collaborating with software engineers for productionization
Research innovative machine learning approaches and identify new opportunities for GenAI applications
Perform hands-on analysis and modeling of large datasets to develop actionable insights
Establish scalable automated processes for data analysis model development and validation
Present results to senior leadership and collaborate with cross-functional teams
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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