Amazon
Senior Applied Scientist, Artificial General Intelligence
Amazon, San Francisco, California, United States, 94199
Job ID: 2776419 | Amazon.com Services LLCThe Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist to lead the development and implementation of cutting-edge algorithms and models to automate workflows and processes for browser automation, developers, and operations teams. As part of this, we are developing services and an inference engine for these automation agents and techniques for reasoning, planning, and modeling workflows.
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and significantly impact our customers' experiences.
Key job responsibilitiesDevelop cutting-edge multimodal Large Language Models (LLMs) to observe, model, and derive insights from manual workflows for automation.Work in a joint scrum with engineers for rapid invention, develop cutting-edge automation agent systems, and take them to launch for millions of customers.Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI.Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results.Think big about the arc of development of GenAI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems.Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports.Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team.BASIC QUALIFICATIONS
PhD, or Master's degree and 5+ years of applied research experience.3+ years of building machine learning models for business application experience.Experience programming in Java, C++, Python or related language.Experience with neural deep learning methods and machine learning.PREFERRED QUALIFICATIONS
PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning.Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback.Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch.Excellent problem-solving skills, with the ability to think creatively and critically about complex problems.Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.Experience with patents or publications at top-tier peer-reviewed conferences or journals.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and significantly impact our customers' experiences.
Key job responsibilitiesDevelop cutting-edge multimodal Large Language Models (LLMs) to observe, model, and derive insights from manual workflows for automation.Work in a joint scrum with engineers for rapid invention, develop cutting-edge automation agent systems, and take them to launch for millions of customers.Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI.Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results.Think big about the arc of development of GenAI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems.Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports.Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team.BASIC QUALIFICATIONS
PhD, or Master's degree and 5+ years of applied research experience.3+ years of building machine learning models for business application experience.Experience programming in Java, C++, Python or related language.Experience with neural deep learning methods and machine learning.PREFERRED QUALIFICATIONS
PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning.Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback.Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch.Excellent problem-solving skills, with the ability to think creatively and critically about complex problems.Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.Experience with patents or publications at top-tier peer-reviewed conferences or journals.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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