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 tooling and experiment frameworks to improve science teams productivity, interface with engineering team to fill in any gaps, help to gauge science code quality, attend code reviews, manage science on-calls, and maintain infrastructures.
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If youre passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
Key job responsibilities
1. Participate in research and development: contribute to developing the latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs.
2. Tool development: build and improve tools needed by applied scientists, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
3. Expedite science to production: bridge the gap between science and engineering teams, investigate and mitigate gaps between science and engineering pipelines, and work towards a fast science-to-production paradigm.
4. Science code quality control: review and ensure science code meets production standards.
5. Manage science infrastructure: act as admin to manage all science AWS accounts, including security patches, building templates, AWS Config, and cost reduction operations.
A day in the life
A Research Engineer supports Applied Scientists by building tools, experiment frameworks, and infrastructures. They may facilitate science benchmarking, troubleshoot deep learning technical problems, or lead joint projects between science and engineering teams.
About the team
About AWS: Amazon Web Services (AWS) is the world’s most comprehensive cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies to power their businesses.
Diverse Experiences
We value diverse experiences. Even if you do not meet all qualifications, we encourage you to apply. We welcome candidates with non-traditional career paths or alternative experiences.
Work/Life Balance
We prioritize work-life harmony and offer flexibility to support your personal and professional life.
Inclusive Team Culture
Our culture fosters learning and curiosity, with employee-led affinity groups and events promoting inclusion and diversity.
Mentorship & Career Growth
We provide resources for mentorship and professional development to help you grow your career.
Minimum qualifications
* 2+ years of experience in system design or architecture, focusing on reliability and scaling.
* 3+ years of professional software development experience.
* Proficiency in at least one programming language.
* Masters degree or equivalent.
Preferred qualifications
* 3+ years building large-scale machine-learning infrastructure for recommendation, ads ranking, personalization, or search.
* Knowledge of software engineering best practices, including SDLC, code reviews, source control, continuous deployment, testing, and operational excellence.
* Experience with machine learning, statistical modeling, data mining, and analytics techniques.
For accommodations during the application process, visit this link. If your region isn’t listed, contact your Recruiting Partner.
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