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.

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:

Master's degree (or foreign degree equivalent) 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

Expertise in one of the following areas: alignment, adversarial robustness, interpretability/explainability, or fairness in generative AI.

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

Proven ability to implement, operate, and deliver results via innovation at a large scale.

Experience researching responsible generative AI challenges and risk mitigations

Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audiences.

Preferred Requirements:

8-10 years of relevant experience in AI ethics, AI research, security, Trust & Safety, or similar roles

Advanced degree in Computer Science, Human-Computer Interaction, Engineering, Data Science or quantitative Social Sciences

Published research on algorithmic fairness, accountability, and transparency, especially around detecting and mitigating bias or AI safety.

Full-time industry experience in deep learning research/product.

Strong experience building and applying machine learning models for business applications.

Strong programming skills

Experience in implementing high-performance and large-scale deep learning systems.

Thoughtful about AI impacts and ethics.

Fantastic problem solver; ability to solve problems the world has not solved before.

Presented a paper at NeurIPS, FAccT, AIES, or similar conferences

Works well under pressure, and is comfortable working in a fast-paced, ever-changing environment.