Senior AI Research and Ethics Specialist

4 days ago


San Francisco, California, United States salesforce, inc. Full time

We're Salesforce, the Customer Company, inspiring the future of business with cutting-edge technologies.

Leading with our core values, we help companies across every industry connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world.

Salesforce's Office of Ethical and Humane Use is hiring an Applied Responsible AI Research Scientist to play a pivotal role in guiding the responsible development of artificial intelligence products.

The ideal candidate will have experience in artificial intelligence and specifically the field of responsible / ethical AI including Generative AI. They will work across teams to implement responsible AI processes including but not limited to bias assessments, accuracy measurements, harms modeling, privacy (memorization, unlearning), security, and AI model trust and safety.

Key Responsibilities
  1. Develop strategy to create, develop, and ship cutting-edge generative AI capabilities for Salesforce customers while mitigating ethical risks and capturing ethical opportunities.
  2. Identify potential negative consequences and mitigate them into a team's roadmap. Conversely, identify positive ethical impacts and ways to amplify them in the product.
  3. Trust and safety, as well as CRM benchmarking against other models and different versions of the same model.
  4. Develop solutions for real-world, large-scale problems.
  5. As needed, lead teams to deliver on more complex pure and applied research projects.

Requirements

  • Master's degree in Computer Science, Engineering, Information Systems, Data Science, Social or Applied Sciences, or a related field.
  • 5-8 years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles. Additional experience researching responsible generative AI challenges and risk mitigations.
  • Expertise in one of the following areas: alignment, adversarial robustness, interpretability/explainability, or fairness in generative AI.
  • Proven leadership, organizational, and execution skills.
  • Experience working in a technical environment with a broad, cross-functional team to drive results, define product requirements, coordinate resources from other groups, and guide the team through key milestones.
  • Excellent written and oral communication skills, as well as interpersonal skills.

Salary Range

$165,600 - $323,400 per year



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