Responsible AI Data Scientist
Description For Responsible AI Data Scientist
Salesforce's Office of Ethical and Humane Use is seeking an experienced ML data scientist specializing in responsible AI. This role sits at the intersection of cutting-edge AI development and ethical implementation, working closely with Einstein product teams, AI Frontier, and Salesforce AI Research teams. The position focuses on ensuring AI systems are built and deployed following ethical guidelines and policies.
The ideal candidate will play a crucial role in assessing and implementing machine learning techniques while providing technical leadership to scientists and engineers. They will be responsible for developing tools that ensure AI systems are fair, accountable, transparent, and explainable. This role offers an opportunity to shape the future of responsible AI development at one of the world's leading enterprise software companies.
Working with cross-functional teams, the candidate will tackle challenges in bias detection and remediation, dataset creation, and safety implementation for both generative and predictive models. They will contribute to establishing quantitative metrics, conducting experiments, and developing safety mechanisms for AI systems.
The position requires a blend of technical expertise in machine learning, practical experience with modern AI frameworks, and a deep understanding of fairness in AI systems. The role offers the unique opportunity to collaborate with industry leaders and influence the direction of responsible AI development while working on enterprise-scale solutions that impact millions of users.
Responsibilities For Responsible AI Data Scientist
- Partner with AI Research Science team to measure and remediate potential bias in data and models
- Build datasets for testing models, both generative and predictive
- Drive engineering investments in responsible AI to improve model fairness and safety
- Develop quantitative metrics to help surface insights from structured datasets
- Plan and conduct end-to-end experiments and analyses
- Assist in data curation to develop safety detectors
- Validate synthetic data generation and crowdsource jobs
- Participate in labeling test data
- Collaborate with industry leaders on improving responsible AI development
Requirements For Responsible AI Data Scientist
- MS in a quantitative discipline with 8+ years of experience
- Practical experience in machine learning
- Fluent in building/prototyping machine learning models and algorithms
- Knowledge of standard machine learning approaches
- Proficient in Python and common machine learning frameworks
- Proficient in SQL, shell scripting, and Unix/Linux command-line tools
- Understanding of fairness evaluation in AI
- Experience working across teams of engineers, data scientists, and researchers
- Strong communication skills
- Ability to creatively prioritize and solve complex problems
