Passionate about helping customers simplify and accelerate their workloads on AWS? Are you fascinated by the power of Large Language Models (LLM), and applying ML and AI to solve complex challenges within one of Amazon's most significant businesses. Come join the AWS Marketplace team and help us build the future of partnerships and marketplace through ML.
You will be a part of a team consisting of experienced Applied Scientists working on a new set of initiatives, building models and delivering them into the Amazon production ecosystem. Your efforts will build a robust ensemble of LLM artifacts and ML systems that can achieve high precision and recall, and scale to new marketplaces and languages. This problem is challenging due to sheer scale (billions of dollars of AWS revenue impact), diversity (hundreds of AWS services) and multitude of input sources (thousands of Partners and millions of Partner activity). We are looking for an experienced Scientist who can develop best in class solutions. Your primary customers are AWS customers and AWS Partners who would thank you for accelerating their migration to the AWS cloud across countries and industries.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
We understand that sometimes you need to work from home. Outside of quarantine, our team is co-located across our New York and Seattle offices. We work from home as needed for doctors appointments, to take our kids to school, pick them up, and do the things that can’t be done from the office.
Mentorship & Career Growth
We are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. You'll have an opportunity to learn from people with and without engineering and science backgrounds through one-on-one mentoring, and helpful code/design reviews. As a Senior Applied Scientist, you'll actively mentor others on the team on the art of what's possible with Machine Learning.
Key job responsibilities
The ideal Applied Scientist candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Large Language Models, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision, Active learning, and Artificial Intelligence. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry. Do you want the excitement of experimenting with cutting edge Large Language Models (LLMs), machine learning, natural language processing, computer vision, and active learning models to solve real world problems at scale? Imagine experimenting with LLMs, with Deep Neural Networks as your daily job and imagine using your model outputs to affect the adoption of AWS cloud at scale through Partners.
Imagine doing research inside of an Amazon team that is always looking to deploy creative solutions to real world problems in Cloud migration.
Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
About the team
The AWS Partner Organization (APO) supports tens of thousands of consulting and technology partners who in turn serve AWS customers across nearly every industry, segment, and geography. The APO Engineering team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Our team is responsible for both internal and external support for Partner Sales, the APN, and other key elements that drive the AWS partner engagement. Our commitment is to serve three primary stakeholder groups: the partners who collaborate with us to develop, promote, and sell AWS, the customers who rely on AWS services, and our internal users responsible for fostering AWS sales and partner-based adoption. This position is a critical enabler driving intelligence and science roadmaps for this entire organization.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Denver, CO, USA | New York City, NY, USA | Seattle, WA, USA
You will be a part of a team consisting of experienced Applied Scientists working on a new set of initiatives, building models and delivering them into the Amazon production ecosystem. Your efforts will build a robust ensemble of LLM artifacts and ML systems that can achieve high precision and recall, and scale to new marketplaces and languages. This problem is challenging due to sheer scale (billions of dollars of AWS revenue impact), diversity (hundreds of AWS services) and multitude of input sources (thousands of Partners and millions of Partner activity). We are looking for an experienced Scientist who can develop best in class solutions. Your primary customers are AWS customers and AWS Partners who would thank you for accelerating their migration to the AWS cloud across countries and industries.
Inclusive Team Culture
Our team is intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
We understand that sometimes you need to work from home. Outside of quarantine, our team is co-located across our New York and Seattle offices. We work from home as needed for doctors appointments, to take our kids to school, pick them up, and do the things that can’t be done from the office.
Mentorship & Career Growth
We are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. You'll have an opportunity to learn from people with and without engineering and science backgrounds through one-on-one mentoring, and helpful code/design reviews. As a Senior Applied Scientist, you'll actively mentor others on the team on the art of what's possible with Machine Learning.
Key job responsibilities
The ideal Applied Scientist candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Large Language Models, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision, Active learning, and Artificial Intelligence. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry. Do you want the excitement of experimenting with cutting edge Large Language Models (LLMs), machine learning, natural language processing, computer vision, and active learning models to solve real world problems at scale? Imagine experimenting with LLMs, with Deep Neural Networks as your daily job and imagine using your model outputs to affect the adoption of AWS cloud at scale through Partners.
Imagine doing research inside of an Amazon team that is always looking to deploy creative solutions to real world problems in Cloud migration.
Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.
About the team
The AWS Partner Organization (APO) supports tens of thousands of consulting and technology partners who in turn serve AWS customers across nearly every industry, segment, and geography. The APO Engineering team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Our team is responsible for both internal and external support for Partner Sales, the APN, and other key elements that drive the AWS partner engagement. Our commitment is to serve three primary stakeholder groups: the partners who collaborate with us to develop, promote, and sell AWS, the customers who rely on AWS services, and our internal users responsible for fostering AWS sales and partner-based adoption. This position is a critical enabler driving intelligence and science roadmaps for this entire organization.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Denver, CO, USA | New York City, NY, USA | Seattle, WA, USA