Amazon
1 week ago
Sr. Software Engineer (ML), AGI Foundations | Reinforcement Learning
US, CA, Sunnyvale
Job Description
The Artificial General Intelligence (AGI) Foundations team is looking for a passionate, talented, and inventive ML Engineer with strong machine learning background, to lead the development of industry-leading technology.
As a Senior ML engineer within the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM reinforcement learning experiments and techniques to build automated training workflows.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale and optimize machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software against rigid schedules.
About the team
As a Senior ML engineer within the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM reinforcement learning experiments and techniques to build automated training workflows.
Key job responsibilities
The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.
Responsibilities-
- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility.
- Work closely with Applied scientists to process data, scale and optimize machine learning models
- Will work in an Agile/Scrum environment to deliver high quality software against rigid schedules.
About the team
Amazon
Jobs posted: 790
