DESCRIPTION

Amazon Q for business is AWS’s generative AI assistant for enterprises. A research engineer at Plato needs to have a strong background in AWS production services, AI, cloud infrastructure, along with a proven track record of delivering results. A research engineer will participate in AI research, develop toolings and experiment frameworks to improve science team's productivity, interface with engineering team to fill in any gaps, help to gauge science code quality and attend code reviews, manage science on-calls, as well as maintain infrastructures.


About 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.

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.

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.

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.


Key job responsibilities
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs
* Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper, review and hold science code quality to production standard
* Manage science infrastructure: act as admin to manage all science AWS account, including patch any security risks, build templates, AWS Cops, conduct cost reduction operations

A day in the life
A Research Engineer supports Applied Scientists in the team by helping to build tools, experiment frameworks, and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking, and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.