Salesforce's Office of Ethical and Humane Use is seeking an experienced Responsible AI Data Scientist to join their ethical red teaming practice. This role combines technical expertise in AI with a focus on safety and ethical considerations. The position involves conducting adversarial testing of AI systems, developing safety measures, and working cross-functionally with security, engineering, and research teams.
The role requires deep technical understanding of both generative and predictive AI, with a focus on identifying and mitigating potential risks and vulnerabilities. You'll be responsible for designing and implementing comprehensive testing strategies, developing detection models and safety guardrails, and collaborating with various teams to integrate these safety measures into the AI development lifecycle.
Key aspects of the role include technical leadership in adversarial testing, mentoring other teams, contributing to safety and robustness measures, and maintaining detailed documentation of testing processes and outcomes. The position offers competitive compensation ranging from $125,700 to $236,500 depending on location and experience.
Working at Salesforce means joining a company committed to ethical AI development and implementation. The role provides an opportunity to directly impact the safety and reliability of AI systems used by millions of users worldwide. The hybrid work environment requires 36 days per quarter in office, allowing for both collaborative work and flexibility.
The ideal candidate will bring 3-5 years of relevant experience, strong technical skills in Python and SQL, and a deep understanding of AI security and ethical considerations. This position offers the chance to work on cutting-edge AI technology while ensuring its responsible deployment, making it perfect for someone passionate about both technical excellence and ethical technology development.
Benefits include comprehensive medical insurance, 401k, and the opportunity to work with industry-leading AI teams. The role is available in major tech hubs including San Francisco, Seattle, Palo Alto, and Bellevue, offering flexibility in location choice while maintaining connection to major tech ecosystems.