Sr Applied Scientist , AFT AI, Amazon Fulfillment Technologies (AFT)
Job Details
Full Job Description
Job ID: 2596001 | Amazon.com Services LLC
Are you excited
about developing generative AI, reinforcement learning and foundation
models? Are you looking for opportunities to build and deploy them on
real problems at truly vast scale? At Amazon Fulfillment Technologies
and Robotics, we are on a mission to build high-performance autonomous
decision systems that perceive and act to further improve our
world-class customer experience - at Amazon scale.
We are
looking for a Sr. Applied Scientist who will help us build next level
reinforcement learning systems with the help of generative AI and
LLMs. Together, we will be pushing beyond the state of the art in
simulation and optimization of one of the most complex systems in the
world: Amazon's Fulfillment Network.
Key job
responsibilities
In this pivotal role, you will design and build
reinforcement learning agents that learn from historic data and
simulation to make optimal process configuration, staffing, and item
flow decisions for end-to-end optimization of our warehouses. You will
use and interface with LLMs and rich multimodal data and environments
to train a new generation of agents.
You will face a high level
of research and product ambiguity and problems that require creative,
ambitious, and inventive solutions. You will work with and in a team
of applied scientists, some of whom you will guide and mentor. You
will work backwards from our high level goals to set and influence our
larger research agenda.
If you are a leader in reinforcement
learning, with a passion for pushing the boundaries of what's possible
and an interest in the intersection of RL, GenAI and LLMs, we invite
you to join our team and drive transformative change at a truly global
scale.
A day in the life
Amazon offers a full range of
benefits that support you and eligible family members, including
domestic partners and their children. Benefits can vary by location,
the number of regularly scheduled hours you work, length of
employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees
include:
1. Medical, Dental, and Vision Coverage
2. Maternity
and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k)
Plan
If you are not sure that every qualification on the list
above describes you exactly, we'd still love to hear from you! At
Amazon, we value people with unique backgrounds, experiences, and
skillsets. If you’re passionate about this role and want to make an
impact on a global scale, please apply!
About the
team
Amazon Fulfillment Technologies (AFT) powers Amazon’s global
fulfillment network. We invent and deliver software, hardware, and
data science solutions that orchestrate processes, robots, machines,
and people. We harmonize the physical and virtual world so Amazon
customers can get what they want, when they want it.
The AFT AI
team has deep expertise developing cutting edge AI solutions at scale
and successfully applying them to business problems in the Amazon
Fulfillment Network. These solutions typically utilize machine
learning and computer vision techniques, applied to text, sequences of
events, images or video from existing or new hardware. We influence
each stage of innovation from inception to deployment, developing a
research plan, creating and testing prototype solutions, and
shepherding the production versions to launch.
We are open to
hiring candidates to work out of one of the following
locations:
Bellevue, WA, USA
- PhD, or Master's degree and 6+ years of
applied research experience
- 3+ years of building machine learning
models for business application experience
- Experience programming
in Java, C++, Python or related language
- Experience with neural
deep learning methods and machine learning
- Reinforcement Learning
Expertise in a real world context
- Experience with modeling tools such as R,
scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
-
Experience with large scale distributed systems such as Hadoop, Spark
etc.
- Experience with RL for Logistics/Operations
- Experience
with LLMs and modern Deep Learning systems
- Proven track record of
product delivery including reinforcement learning/deep learning
components
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
compensation reflects the cost of labor across several US geographic
markets. The base pay for this position ranges from $136,000/year in
our lowest geographic market up to $260,000/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 This position will
remain posted until filled. Applicants should apply via our internal
or external career site.
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.
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