Senior Applied Scientist
Company: Amazon.com
Location: Newark
Posted on: October 29, 2024
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Job Description:
At Audible, we believe stories have the power to transform
lives. It's why we work with some of the world's leading creators
to produce and share audio storytelling with our millions of global
listeners. We are dreamers and inventors who come from a wide range
of backgrounds and experiences to empower and inspire each other.
Imagine your future with us.ABOUT THIS ROLEAs a Senior Applied
Scientist, you will solve large complex real-world problems at
scale, draw inspiration from the latest science and technology to
empower undefined/untapped business use cases, delve into customer
requirements, collaborate with tech and product teams on design,
and create production-ready models that span various domains,
including machine learning, artificial intelligence (AI), natural
language processing (NLP), reinforcement learning (RL), real-time
and distributed systems. Your primary focus will be on designing,
developing, and deploying highly innovative modeling techniques to
production to advance the state of the art in aforementioned
domains. Your decision-making will consistently incorporate robust,
data-driven business and technical judgment. You will collaborate
with and mentor other scientists to raise the bar of scientific
research in Amazon and to foster valuable scientific partnership
opportunities to help/guide strategic science decisions. We work in
a highly collaborative, fast-paced environment where scientists,
engineers, and product managers work to test and build scalable
customer facing experiences. You will have the opportunity to
innovate, invent, think big, and streamline cutting-edge
optimization services and algorithms to influence the experiences
of millions of customers.As a Senior Applied Scientist, you
will...- Understand large complex use cases across the business and
design the model solution that is scalable, efficient, automated-
Design, develop, and deploy end-to-end and scalable modeling
solutions, in particular next generation of tools/features
empowered by LLM- Partner closely with other Amazon scientists
focused on LLM use cases - Drive and lead strategic initiatives to
employ the most recent advances in ML/AI in a fast-paced,
experimental environment- Work closely with teams of scientists and
software engineers to drive real-time model implementations and
deliver novel and highly impactful features- Push the boundary of
innovation- Mentor and grow the scientists in the team and across
AmazonABOUT AUDIBLEAudible is the leading producer and provider of
audio storytelling. We spark listeners' imaginations, offering
immersive, cinematic experiences full of inspiration and insight to
enrich our customers daily lives. We are a global company with an
entrepreneurial spirit. We are dreamers and inventors who are
passionate about the positive impact Audible can make for our
customers and our neighbors. This spirit courses throughout
Audible, supporting a culture of creativity and inclusion built on
our People Principles and our mission to build more equitable
communities in the cities we call home.BASIC QUALIFICATIONS- 5+
years of industry experience in Deep learning, Natural Language
Processing/Understanding, Reinforcement learning and Speech
processing- Fluency in Python, SQL or similar scripting languages
and skilled at Java, C++, or other programing languages- Experience
in algorithm development- Depth and breadth in state-of-the-art
machine learning technologies- Machine Learning Pipeline
orchestration with AWS (SageMaker, Batch, Lambda, Step Functions)
or similar cloud-platforms- Big Data Engineering with Spark / AWS
EMR & GluePREFERRED QUALIFICATIONS- Domain knowledge of comparable
products (digital, retail)- Publications at top-tier peer-reviewed
conferences or journals in one of those areas (natural language
processing/understanding, deep learning, machine learning, or
speech processing)- Proven track record of innovation in creating
novel algorithms and advancing the state of the artAmazon 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.
Keywords: Amazon.com, Freeport , Senior Applied Scientist, Other , Newark, New York
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