Senior Applied Scientist, Amazon Q Developer Science
Company: Amazon
Location: Seattle
Posted on: April 3, 2026
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Job Description:
The Amazon Q Developer Science team is looking for an Applied
Scientist who is passionate about building services and tools for
developers that leverage artificial intelligence (AI) agents and
machine learning (ML). You will be part of a team building AI-based
services for Amazon Q Developer with the focus on redefining the
way developer work. The team works in close collaboration with
other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and
Amazon Sagemaker. If you are excited about working in cloud
computing and building new AWS services, then we'd love to talk to
you. Key job responsibilities As a senior Applied Scientist, you
are recognized for your expertise, advise team members on a range
of machine learning topics, and work closely with software
engineers to drive the delivery of end-to-end modeling solutions.
Your work focuses on ambiguous problem areas where the business
problem or opportunity may not yet be defined. The problems that
you take on require scientific breakthroughs. You take a long-term
view of the business objectives, product roadmaps, technologies,
and how they should evolve. You drive mindful discussions with
customers, engineers, and scientist peers. You bring perspective
and provide context for current technology choices, and make
recommendations on the right modeling and component design approach
to achieve the desired customer experience and business outcome.
About the team 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.
Utility Computing (UC) AWS Utility Computing (UC) provides product
innovations — from foundational services such as Amazon’s Simple
Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to
consistently released new product innovations that continue to set
AWS’s services and features apart in the industry. As a member of
the UC organization, you’ll support the development and management
of Compute, Database, Storage, Internet of Things (IoT), Platform,
and Productivity Apps services in AWS, including support for
customers who require specialized security solutions for their
cloud services. 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. 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. 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. 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. - 3 years of
building machine learning models for business application
experience - PhD, or Master's degree and 6 years of applied
research experience - Experience programming in Java, C++, Python
or related language - Experience with neural deep learning methods
and machine learning - Experience with large scale distributed
systems such as Hadoop, Spark etc. - Experience in building machine
learning models for business application 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
https://amazon.jobs/content/en/how-we-hire/accommodations for more
information. If the country/region you’re applying in isn’t 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
https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 -
226,100.00 USD annually
Keywords: Amazon, Kirkland , Senior Applied Scientist, Amazon Q Developer Science, IT / Software / Systems , Seattle, Washington
