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An innovative team is seeking a Senior Applied Scientist to contribute to the development of cutting-edge Generative AI technology. In this role, you will leverage your deep learning expertise to create impactful products and services that utilize speech and language technology. Collaborating with talented peers, you'll lead the development of novel algorithms and modeling techniques, pushing the boundaries of what is possible in the field. Join a forward-thinking organization where your work will directly enhance customer experiences through advanced AI solutions. This is an exciting opportunity to make a significant impact in the rapidly evolving world of artificial intelligence.
Job ID: 2940682 | Amazon Development Centre (London) Limited - C26
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities:
As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
About the team:
The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
- Master's degree
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Posted: December 2, 2024 (Updated about 16 hours ago)