Data Scientist, Generative AI Innovation Center Are
you looking to work at the forefront of Machine Learning and AI?
Would you be excited to apply state-of-the-art Generative AI
algorithms to solve real world problems with significant impact?
The Generative AI Innovation Center helps AWS customers implement
Generative AI solutions and realize transformational business
opportunities. This is a team of strategists, scientists,
engineers, and architects working step-by-step with customers to
build bespoke solutions that harness the power of generative AI.
The team helps customers imagine and scope the use cases that will
create the greatest value for their businesses, define paths to
navigate technical or business challenges, develop
proof-of-concepts, and make plans for launching solutions at scale.
The GenAI Innovation Center team provides guidance on best
practices for applying generative AI responsibly and cost
efficiently. You will work directly with customers and innovate in
a fast-paced organization that contributes to game-changing
projects and technologies. You will design and run experiments,
research new algorithms, and find new ways of optimizing risk,
profitability, and customer experience. We’re looking for Data
Scientists capable of using GenAI and other techniques to design,
evangelize, and implement state-of-the-art solutions for
never-before-solved problems. Key job responsibilities •
Collaborate with AI/ML scientists and architects to research,
design, develop, and evaluate novel generative AI solutions to
address real-world challenges • 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 • Create and deliver best practice
recommendations, tutorials, blog posts, sample code, and
presentations adapted to technical, business, and executive
stakeholder • Provide customer and market feedback to product and
engineering teams to help define product direction A day in the
life About the team ABOUT AWS: Diverse Experiences Amazon 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,
hasn’t followed a traditional path, or includes alternative
experiences, don’t let it stop you from applying. Why AWS Amazon
Web Services (AWS) is the world’s most comprehensive and broadly
adopted cloud platform. We pioneered cloud computing and never
stopped innovating — that’s why customers from the most successful
startups to Global 500 companies trust our robust suite of products
and services to power their businesses. 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, there’s nothing we can’t achieve in
the cloud. Inclusive Team Culture Here at AWS, it’s in our nature
to learn and be curious. Our employee-led 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 and Career Growth We’re continuously raising
our performance bar as we strive to become Earth’s Best Employer.
That’s why you’ll find endless knowledge-sharing, mentorship and
other career-advancing resources here to help you develop into a
better-rounded professional. - Bachelor's degree and 5 years of
experience or Master's degree and 2 years of experience - Hands-on
experience with generative AI technology - Experience in any of the
following areas: algorithms and data structures, parsing, numerical
optimization, data mining, parallel and distributed computing,
high-performance computing, neural deep learning methods and/or
machine learning - 2+ years of hands on experience with Python to
build, train, and evaluate models - 2+ years of technical client
engagement experience - Masters or PhD degree in computer science,
engineering, mathematics, operations research, or in a highly
quantitative field - Experience building generative AI applications
on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience with design, deployment, and evaluation of Large
Language Model (LLM)-powered agents and tools and orchestration
approaches - Experience with design, development, and optimization
of high-quality prompts and templates that guide the behavior and
responses of LLMs - Experience with open source frameworks for
building applications powered by LLMs like LangChain, LlamaIndex,
and/ or similar tools - Hands on experience building cloud
applications Amazon is an equal opportunity employer and does not
discriminate on the basis of protected veteran status, disability,
or other legally protected status. Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively
with other employees, supervisors, and staff; adhere to standards
of excellence despite stressful conditions; communicate effectively
and respectfully with employees, supervisors, and staff to ensure
exceptional customer service; and follow all federal, state, and
local laws and Company policies. Criminal history may have a
direct, adverse, and negative relationship with some of the
material job duties of this position. These include the duties and
responsibilities listed above, as well as the abilities to adhere
to company policies, exercise sound judgment, effectively manage
stress and work safely and respectfully with others, exhibit
trustworthiness and professionalism, and safeguard business
operations and the Company’s reputation. Pursuant to the Los
Angeles County Fair Chance Ordinance, we will consider for
employment qualified applicants with arrest and conviction records.
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
https://amazon.jobs/content/en/how-we-hire/accommodationsfor more
information. If the country/region you’re applying in isn’t listed,
please contact your Recruiting Partner. Our compensation reflects
the cost of labor across several US geographic markets. The base
pay for this position ranges from $125,500/year in our lowest
geographic market up to $212,800/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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