Lead Applied Scientist in Responsible AI

2 weeks ago


San Francisco, California, United States Amazon Full time

About the Role:
At Amazon, we are dedicated to the responsible development and operation of AI services, ensuring measurable success across various Responsible AI dimensions such as safety, fairness, privacy, security, robustness, explainability, and transparency.

Key Responsibilities:
As a Lead Applied Scientist, you will play a pivotal role in:

  • Gaining a comprehensive understanding of the technical and scientific challenges associated with safety, fairness, privacy, security, robustness, explainability, and transparency in both traditional and generative AI.
  • Creating innovative solutions and establishing best practices in Responsible AI.
  • Shaping our research and innovation strategies.
  • Setting the strategic direction, priorities, and metrics for technical advancements in Responsible AI.
  • Building and nurturing the Amazon team.
  • Promoting the adoption of new scientific methodologies and best practices across service teams.

Basic Qualifications:
To be successful in this role, you should possess:

  • A deep understanding of the technical and scientific issues surrounding safety, fairness, privacy, security, robustness, explainability, and transparency in both traditional and generative AI.
  • The ability to develop innovative solutions and establish best practices in Responsible AI.
  • Experience in shaping research and innovation agendas.
  • Skills in defining strategies, priorities, and metrics for technical progress in Responsible AI.
  • Experience in team building and development.
  • A track record of driving the adoption of new scientific practices among service teams.

Preferred Qualifications:
We would like to see candidates with:

  • A PhD in computer science, statistics, engineering, mathematics, or a related field.
  • Over 10 years of experience applying machine learning to address challenges in Responsible AI, natural language processing (NLP), computer vision (CV), automatic speech recognition (ASR), and other AI domains.
  • Proficiency in machine learning applications.

Diversity and Inclusion:
Amazon is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

Compensation:
Our compensation reflects the labor market across various US geographic regions. The base salary for this position ranges from $159,100 to $309,400, depending on the geographic market. Pay is influenced by several factors, including market location and job-related knowledge, skills, and experience. Amazon offers a comprehensive compensation package that may include equity, sign-on bonuses, and a full range of medical, financial, and other benefits.

This position will remain open until filled. Please apply through our career site.



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