Amazon.com Services LLC
Principal Applied Scientist, Futures Design
Amazon.com Services LLC, Seattle, Washington, us, 98127
PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
10+ years of combined academic and research experience
Multi-disciplinary expertise with demonstrated application of AI to a human-centered problem space (e.g., human factors or experiential learning)
Functional thought leader, sought after for key tech decisions
Can successfully sell ideas to executive level decision makers
Mentors and trains the research scientist community on complex technical issues
Proven track record of building complex solutions in ambiguous environments
Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers
Experience developing software in traditional programming languages (e.g., Python, C++, Java)
Excellent written and spoken communication skills
Proven record of developing new approaches, algorithms, application areas, etc.
Extensive research expertise in generative AI, computer vision, machine learning, or NLP
Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms
Futures Design is the advanced concept design and incubation team within Amazon’s Device and Services Design Group (DDG). We are responsible for exploring and defining think (very) big opportunities globally and locally — so that we can better understand how new products and services might enrich the lives of our customers and so that product teams and leaders can align on where we're going and why we're going there. We focus on a 3–10+ year time frame, with the runway to invent and design category-defining products and transformational customer experiences.
Our team is dedicated to unlocking new foundational capabilities in generative AI, guided by the thesis that embedding understanding through human factors, cognitive science, and socioeconomics is crucial to building AI systems that align with human needs. We place particular emphasis on the capabilities of simulacra through agentic systems and experiential/evolutionary learning, which we believe are vital to accelerating the development of AI as an aligned partner. Joining our team will give you the chance to drive key decisions that will impact the lives of millions of Amazon customers.
Key job responsibilities:
Define key research directions and adopt or invent new machine learning techniques.
Conduct rigorous experiments, publish results, and ensure that research is translated into practice.
Develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.
Participate in organizational planning, hiring, mentorship, and leadership development.
Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
A day in the life:
We're looking for a Principal Applied Scientist to join the growing DDG Futures Design team. You thrive in ambiguity and paradigm shifts – remaking assumptions of how customers engage, devices operate, and builders create. You apply deep expertise that spans design, technology, and product, grounding state-of-the-art emerging technologies through storytelling and a maker's mindset. You learn and adapt technology trends to enduring customer problems through customer empathy, code, and iterative experimentation.
You will wear multiple hats to quickly assimilate customer problems, convert them to hypotheses, and test them using efficient technologies and design methods to build stakeholder buy-in. You’ll help your peers unlock challenging scenarios and mature the design studio’s ability to deliver design at scale across a breadth of devices and interaction modalities. You will work around limitations and push capabilities through your work. Your curiosity will inspire those around you and facilitate team growth, while your hands-on, collaborative nature will build trust with your peers and studio partners.
Additional Qualifications:
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
Deep and broad expertise in state-of-the-art generative AI methodologies, such as building simulacra with frameworks like Autogen, CrewAI, or ChatDev.
Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources.
Track record of solving complex technical problems.
Exhibits excellent business judgment; balances business, product, and technology very well.
Experience working with real-world data sets and building scalable models from large-scale data.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.
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10+ years of combined academic and research experience
Multi-disciplinary expertise with demonstrated application of AI to a human-centered problem space (e.g., human factors or experiential learning)
Functional thought leader, sought after for key tech decisions
Can successfully sell ideas to executive level decision makers
Mentors and trains the research scientist community on complex technical issues
Proven track record of building complex solutions in ambiguous environments
Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers
Experience developing software in traditional programming languages (e.g., Python, C++, Java)
Excellent written and spoken communication skills
Proven record of developing new approaches, algorithms, application areas, etc.
Extensive research expertise in generative AI, computer vision, machine learning, or NLP
Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms
Futures Design is the advanced concept design and incubation team within Amazon’s Device and Services Design Group (DDG). We are responsible for exploring and defining think (very) big opportunities globally and locally — so that we can better understand how new products and services might enrich the lives of our customers and so that product teams and leaders can align on where we're going and why we're going there. We focus on a 3–10+ year time frame, with the runway to invent and design category-defining products and transformational customer experiences.
Our team is dedicated to unlocking new foundational capabilities in generative AI, guided by the thesis that embedding understanding through human factors, cognitive science, and socioeconomics is crucial to building AI systems that align with human needs. We place particular emphasis on the capabilities of simulacra through agentic systems and experiential/evolutionary learning, which we believe are vital to accelerating the development of AI as an aligned partner. Joining our team will give you the chance to drive key decisions that will impact the lives of millions of Amazon customers.
Key job responsibilities:
Define key research directions and adopt or invent new machine learning techniques.
Conduct rigorous experiments, publish results, and ensure that research is translated into practice.
Develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.
Participate in organizational planning, hiring, mentorship, and leadership development.
Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
A day in the life:
We're looking for a Principal Applied Scientist to join the growing DDG Futures Design team. You thrive in ambiguity and paradigm shifts – remaking assumptions of how customers engage, devices operate, and builders create. You apply deep expertise that spans design, technology, and product, grounding state-of-the-art emerging technologies through storytelling and a maker's mindset. You learn and adapt technology trends to enduring customer problems through customer empathy, code, and iterative experimentation.
You will wear multiple hats to quickly assimilate customer problems, convert them to hypotheses, and test them using efficient technologies and design methods to build stakeholder buy-in. You’ll help your peers unlock challenging scenarios and mature the design studio’s ability to deliver design at scale across a breadth of devices and interaction modalities. You will work around limitations and push capabilities through your work. Your curiosity will inspire those around you and facilitate team growth, while your hands-on, collaborative nature will build trust with your peers and studio partners.
Additional Qualifications:
Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
Deep and broad expertise in state-of-the-art generative AI methodologies, such as building simulacra with frameworks like Autogen, CrewAI, or ChatDev.
Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources.
Track record of solving complex technical problems.
Exhibits excellent business judgment; balances business, product, and technology very well.
Experience working with real-world data sets and building scalable models from large-scale data.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.
#J-18808-Ljbffr