Senior Machine Learning Engineer, Generative AI, AGI Inference Engine at Amazon
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artificial general intelligence
AGI
LLM
The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Software Engineer, to lead the development and implementation of cutting-edge technologies to push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models.
Key job responsibilities
- Design, develop, test and deploy inference solutions for high-end LLMs
- Explore emerging inference optimization techniques in areas such
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI
- Mentor and guide junior engineers, and contribute to the overall growth and development of the team
A day in the life
Senior engineers in our team are independent and have much freedom in the way they contribute. They read recent papers, explore ideas, brainstorm and freely connect with others to cooperate. They detect, investigate and resolve complex problems, sometimes through creating software solutions, and sometimes just through finding and reusing something that exists. They partner with leaders to focus on right things and make good decisions. They are making sure the team follows best design and programming best practices, as well as lead operational efforts.
About the team
Our mission is to build best-in-class, fast, accurate, and cost-efficient large language model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.
Key job responsibilities
- Design, develop, test and deploy inference solutions for high-end LLMs
- Explore emerging inference optimization techniques in areas such
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI
- Mentor and guide junior engineers, and contribute to the overall growth and development of the team
A day in the life
Senior engineers in our team are independent and have much freedom in the way they contribute. They read recent papers, explore ideas, brainstorm and freely connect with others to cooperate. They detect, investigate and resolve complex problems, sometimes through creating software solutions, and sometimes just through finding and reusing something that exists. They partner with leaders to focus on right things and make good decisions. They are making sure the team follows best design and programming best practices, as well as lead operational efforts.
About the team
Our mission is to build best-in-class, fast, accurate, and cost-efficient large language model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.