Job ID: 2787450 | Amazon Web Services, Inc.
Do you like startups? Are you an expert in the development and practical application of deep learning and generative AI? Are you interested in the intersection of cloud computing, generative AI, and disrupting innovation? Yes? We have a role you might find interesting.
We are looking for technical builders who love the idea of working with early stage life sciences startups to help them as they grow. In this role, you’ll work directly with a variety of interesting life sciences customers (such as drug discovery, next gen sequencing, and diagnostics startups) and help them make the best (and sometimes the most pragmatic) technical decisions along the way. You’ll have a chance to build enduring relationships with these companies and establish yourself as a trusted advisor.
As a member of the Generative AI Startups team, you will work directly with customers to help them successfully leverage cutting-edge AWS technology to develop, train, tune, and deploy the next generation of generative AI foundation models at scale.
Key job responsibilities:
- 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience.
- 3+ years of design, implementation, or consulting in applications and infrastructures experience.
- 5+ years of infrastructure architecture, database architecture and networking experience.
- Experience working with end user or developer communities.
- Experience working with Python and generative AI libraries and frameworks such as PyTorch, JAX, TensorFlow.
- Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO.
- Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker.
- Experience with related technology areas such as distributed filesystems and high performance networking.
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