Salesforce, a global leader in CRM and enterprise solutions, is seeking a Responsible AI Data Scientist to join their Office of Ethical and Humane Use. This role combines technical expertise in AI with ethical considerations, focusing on identifying and mitigating potential risks in AI systems.
The position requires a unique blend of technical prowess and ethical awareness, as you'll be responsible for conducting adversarial testing on AI models and developing safety measures. You'll work with cross-functional teams including security, engineering, data science, and AI Research to ensure the responsible development and deployment of AI technologies.
Key aspects of the role include designing and implementing comprehensive adversarial testing strategies, developing detection models and safety guardrails, and writing clean, efficient code primarily in Python. You'll also be responsible for analyzing emerging threats, documenting findings, and making recommendations for improvements.
The ideal candidate should have 3-5 years of relevant experience in software engineering, AI ethics, or similar roles, with a strong foundation in both technical implementation and ethical considerations. Experience with SQL, Python, and large-scale data analysis is essential, as is the ability to think adversarially about AI systems.
This is a hybrid position requiring 36 days per quarter in office, offering the opportunity to work with cutting-edge AI technology while ensuring its responsible implementation. You'll be part of a team that shapes the future of ethical AI development at one of the world's leading technology companies.
The role offers competitive compensation ranging from $125,700 to $236,500, depending on location and experience. You'll be working in prime tech hub locations including San Francisco, Seattle, Palo Alto, or Bellevue, contributing to Salesforce's mission of responsible AI development.
This position represents a unique opportunity to combine technical expertise with ethical considerations in AI development, making a meaningful impact on how AI technologies are implemented responsibly at scale.