Applied Responsible AI Research Scientist

Employment Type: Full time

Location Type: [Not Specified] Salary: [Not Specified]

Position Overview

Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team, you’ll learn unique skills, work with talented people, and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!

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 cutting-edge artificial intelligence products. Working together with the Responsible AI & Tech team and in close partnership with both Salesforce AI Research and Frontier AI teams, they will deliver guidance, guardrails, and features that ensure the next generation of AI is designed, developed, and delivered in alignment with Salesforce’s ethical use and responsible AI principles.

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.

Responsibilities

• Develop strategy, alongside Salesforce AI Research, engineering, data science, and product management to create, develop, and ship cutting-edge generative AI capabilities for Salesforce customers while mitigating ethical risks and capturing ethical opportunities.
• Identify potential negative consequences, then identify how those consequences might be mitigated and drive prioritization of those mitigations into a team’s roadmap. Conversely, identify positive ethical impacts in a roadmap/specification/design and ways to amplify them in the product.
• Focus on trust and safety, as well as CRM benchmarking against other models and different versions of the same model.
• Develop solutions for real-world, large-scale problems.
• As needed, lead teams to deliver on more complex pure and applied research projects.

Minimum Requirements

• Education: Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Data Science, Social or Applied Sciences, or a related field.
• Experience:
  • 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: Expertise in one of the following areas: alignment, adversarial robustness, interpretability/explainability, or fairness in generative AI.
• Skills:
  • Proven leadership, organizational, and execution skills.
  • Passion for developing cutting-edge AI ethics technology and deploying it through a multi-stakeholder approach.
  • Experience working in a technical environment with a broad, cross-functional team to drive results, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones.

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data+CRM. Leading with our core values, we help companies across every industry blaze new trails and 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. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Application Instructions

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.