Software Dev Engineer - AI/ML, AWS Q Business
Amazon Q Business is a generative AI powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems.
It empowers employees to be more creative, data-driven, efficient, prepared, and productive.
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world.
We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years.
The future of work is here make it yours with Amazon Q Business!
Key job responsibilities
- Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety
- Writing requirements capturing documents, design documents, integration test plans, and deployment plans
- Communicating status and progress of deliverables to schedule, and sharing learnings / innovations with your team and stakeholders
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA New York, NY, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related field
- To qualify, applicants should have earned a Bachelor’s or Master’s degree between May 2023 to September 2024. Possible start dates for this role are between June 2024 to October 2024.
- Programming experience in internship or coursework with programming language in Java, Python, or C++.
- 1+ years of internship or coursework in deep learning, transformer architectures
PREFERRED QUALIFICATIONS
- Previous software engineer (internship / professional) experience with Pytorch / Jax / Tensorflow, Distributed libraries and Frameworks, end-to-end model training, and sharding.
- Experience with distributed, multi-tiered systems, algorithms, and relational databases.
- Experience in optimization mathematics such as linear programming and nonlinear optimization
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