Startups Sr Applied Scientist Generative AI Innovation Delivery Team
Startups Sr Applied Scientist Generative AI Innovation Delivery Team
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Do you have deep technical GenAI background in the Startup space Are you looking to work with world leading startups at the forefront of Generative AI Join the The Generative AI Innovation and Delivery Team (GenAIID) Startup Organization!
The Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment build and scale their products. We are a team of strategists scientists engineers and architects working closely with worlds leading startups across GenAI model providers GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fastpaced organization that contributes to gamechanging projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience. Were looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems.
Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research design develop and evaluate generative AI solutions to address realworld opportunities
* Interact with customers directly to understand their business problems aid them in implementation of generative AI solutions brief customers and guide them on adoption patterns and paths to production
* Help customers optimize their solutions through approaches such as model selection training or tuning rightsizing distillation and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements
About the team
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife 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 in the cloud.
PhD or Masters degree and 6 years of applied research experience
5 years of hands on experience with Python to build train and evaluate models
5 years of experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
2 years of experience with design development and optimization of generative AI solutions algorithms or technologies
Experience in patents or publications at peerreviewed conferences or journals
Experience working in a startup or with startup customers
Experience with design deployment and evaluation of Large Language Model (LLM)powered agents and tools and orchestration approaches
Handson experience with model customization techniques such as finetuning continued pretraining and LLMasjudge evaluation
Experience with optimization of models on GPUs Amazon Silicon or TPUs also experience with open source frameworks for building applications powered by LLMs like LangChain LlamaIndex and/ or similar tools
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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 Generative AI Innovation and Delivery mission is to drive startup innovation by making AWS the preferred GenAI Platform for startups to experiment build and scale their products. We are a team of strategists scientists engineers and architects working closely with worlds leading startups across GenAI model providers GenAI tooling and applications. We partner closely with startups to address their GenAI infrastructure needs evolve their GenAI product and infuse GenAI into their existing SaaS applications. In this process we provide guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with startups and innovate in a fastpaced organization that contributes to gamechanging projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience. Were looking for Applied Scientists passionate about helping startups use GenAI and other techniques to design evangelize and implement stateoftheart solutions for neverbeforesolved problems.
Key job responsibilities
* Collaborate with AI/ML scientists and engineers to research design develop and evaluate generative AI solutions to address realworld opportunities
* Interact with customers directly to understand their business problems aid them in implementation of generative AI solutions brief customers and guide them on adoption patterns and paths to production
* Help customers optimize their solutions through approaches such as model selection training or tuning rightsizing distillation and hardware optimization
* Develop a deep understanding of startups GenAI ecosystem and their evolving technical needs to drive improvements to startups program and resulting customer experience
* Provide customer and market feedback to product and engineering teams to help define product direction
* Unlock scale by identifying patterns and establishing reusable assets to accelerate customer impact of future engagements
About the team
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife 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 in the cloud.
PhD or Masters degree and 6 years of applied research experience
5 years of hands on experience with Python to build train and evaluate models
5 years of experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
2 years of experience with design development and optimization of generative AI solutions algorithms or technologies
Experience in patents or publications at peerreviewed conferences or journals
Experience working in a startup or with startup customers
Experience with design deployment and evaluation of Large Language Model (LLM)powered agents and tools and orchestration approaches
Handson experience with model customization techniques such as finetuning continued pretraining and LLMasjudge evaluation
Experience with optimization of models on GPUs Amazon Silicon or TPUs also experience with open source frameworks for building applications powered by LLMs like LangChain LlamaIndex and/ or similar tools
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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