Machine Learning Engineer, Generative AI InnovationCenter...

Machine Learning Engineer, Generative AI Innovation
Center Amazon launched the Generative AI (GenAI) Innovation Center
(GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise
innovation and success with Generative AI
(https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center).
Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are
engaging with the GAI Innovation Center to explore developing
generative solutions. GenAIIC provides opportunities to innovate in
a fast-paced organization that contributes to game-changing
projects and technologies that get deployed on devices and in the
cloud. As a Machine Learning Engineer in GenAIIC, you are
proficient in developing and deploying advanced ML models and
pipelines to solve diverse customer problems using generative AI.
You will be working alongside scientists with terabytes of text,
images, and other types of data and develop Gen AI based solutions
to solve real-world problems. You'll design and run experiments,
research new algorithms, and find new ways of optimizing risk,
profitability, and customer experience. Key job responsibilities
Our ML Engineers collaborate across diverse teams, projects, and
environments to have a firsthand impact on our global customer
base. You’ll bring a passion for the intersection of software
development with generative AI and machine learning. You’ll also: -
Solve complex technical problems, often ones not solved before, at
every layer of the stack. - Design, implement, test, deploy and
maintain innovative ML solutions to transform service performance,
durability, cost, and security. - Build high-quality, highly
available, always-on products. - Research implementations that
deliver the best possible experiences for customers. A day in the
life As you design and code solutions to help our team drive
efficiencies in ML architecture, you’ll create metrics, implement
automation and other improvements, and resolve the root cause of
software defects. You’ll also: - Build high-impact ML solutions to
deliver to our large customer base. - Participate in design
discussions, code review, and communicate with internal and
external stakeholders. - Work cross-functionally to help drive
business solutions with your technical input. - Work in a
startup-like development environment, where you’re always working
on the most important stuff. About the team Diverse Experiences AWS
values diverse experiences. Even if you do not meet all of the
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. 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 &
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. 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. - 8+ years
of non-internship professional software development experience - 5+
years of leading design or architecture (design patterns,
reliability and scaling) of new and existing systems experience -
Experience building complex software systems that have been
successfully delivered to customers - Experience as a mentor, tech
lead or leading an engineering team - 5+ years experience in data
querying languages (e.g. SQL), scripting languages (e.g. Python)
with exposure to machine learning/statistical modeling data
analysis tools and techniques, and parameters that affect their
performance experience - 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 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.
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