Applied Responsible AI Research Scientist at Salesforce involved in developing ethical AI products. Working with cross-functional teams to implement responsible AI processes across various projects.
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.
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.
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.
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.
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.
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.
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