Sr. Machine Learning Engineer, Amazon General
Intelligence (AGI) Job ID: 2870539 | Amazon.com Services LLC The
Artificial General Intelligence (AGI) team is looking for a
passionate, talented, and inventive Sr. Software Development
Engineer(Sr. SDE)/Machine Learning Engineer(MLE) to play pivotal
role in the development of industry-leading multi-modal and
multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE
superstar, you'll have the power to lead the charge in developing
mind-blowing algorithms and modeling techniques that will push the
boundaries of large model training using cutting-edge hardware like
GPUs and AWS Trainium. Your groundbreaking work will directly
impact our customers' lives through game-changing products and
services powered by your Generative AI breakthroughs! Get ready to
dive into Amazon's vast and diverse data sources and harness the
immense power of our large-scale computing resources to turbocharge
the development of multi-modal Large Language Models (LLMs) and
other awe-inspiring Generative Artificial Intelligence (Gen AI)
applications. Your expertise and insights will be invaluable in
defining data strategies, enrichment processes, model
optimizations, and evaluation methods that will set new standards
in the industry! So, if you're passionate about pushing the limits
of AI, thrive in a fast-paced and innovative environment, and are
ready to make a lasting impact on the world, this is your chance!
Join us on this exhilarating adventure and let's revolutionize AGI
together! #MLE Key job responsibilities * Ability to quickly learn
cutting-edge technologies and algorithms in the field of Generative
AI to participate in our journey to build the best LLMs. *
Responsible for the development and maintenance of key platforms
needed for developing, evaluating and deploying LLM for real-world
applications. * Work with other team members to investigate design
approaches, prototype new technology and evaluate technical
feasibility. * Work closely with Applied scientists to process
massive data, scale machine learning models while optimizing. A day
in the life As a Sr. SDE/MLE with the AGI team, you will be
responsible for leading the development of novel algorithms and
modeling techniques to advance the state of the art of large model
training using hardware like NVDIA GPUs. Your work will directly
impact our customers in the form of products and services that make
use of Generative AI innovations. You will leverage Amazon’s
heterogeneous data sources and large-scale computing resources to
accelerate development with multi-modal Large Language Models
(LLMs) and other Generative Artificial Intelligence (Gen AI)
applications. As a key player in our team, you'll have a
significant influence on our overall strategy, shaping the future
direction of AGI at Amazon. You'll be the driving force behind our
system architecture and the champion of best practices that will
ensure an unparalleled infrastructure of the highest quality. Work
in an Agile/Scrum environment to move fast and deliver high quality
software. About the team Join our AGI team and work at the
forefront of AI. Collaborate with top minds pushing boundaries in
deep learning, reinforcement learning, and more. Gain valuable
experience and accelerate your career growth. This is a unique
opportunity to create history and shape the future of artificial
intelligence. Mission of the team: We leverage our hyper-scalable,
general-purpose large model training and inference systems to
develop and deploy cutting-edge sensory AI foundational models that
revolutionize machine perception, interpretation and interaction,
with humans and with the physical world. BASIC QUALIFICATIONS - 5+
years of non-internship professional software development
experience - 5+ years of programming with at least one software
programming language experience - 5+ years of leading design or
architecture (design patterns, reliability and scaling) of new and
existing systems experience - Experience as a mentor, tech lead or
leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of
full software development life cycle, including coding standards,
code reviews, source control management, build processes, testing,
and operations experience - Bachelor's degree in computer science
or equivalent 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 $151,300/year in our lowest
geographic market up to $261,500/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. Amazon is an equal
opportunity employer and does not discriminate on the basis of
protected veteran status, disability, or other legally protected
status. #J-18808-Ljbffr
