Responsible AI Data Scientist
Description For Responsible AI Data Scientist
Salesforce's Office of Ethical and Humane Use is seeking a seasoned ML data scientist specializing in responsible AI. This role represents a unique opportunity to shape the future of ethical AI development at one of the world's leading enterprise software companies. The position involves collaborating with Einstein product teams, AI Frontier, and Salesforce AI Research teams to ensure AI models are developed and deployed according to ethical guidelines.
The role demands a combination of technical expertise in machine learning and a strong commitment to ethical AI development. You'll be responsible for assessing and implementing various machine learning techniques, providing technical leadership, and building tools for fair, accountable, transparent, and explainable AI. The position offers the chance to work on cutting-edge AI technology while ensuring it meets the highest standards of responsibility and ethics.
As a Responsible AI Data Scientist, you'll be at the forefront of developing and implementing fairness metrics, bias detection, and mitigation strategies. You'll work with diverse teams across the organization, from research scientists to engineers, contributing to both theoretical advancement and practical implementation of responsible AI principles. The role requires not just technical proficiency but also strong communication skills to effectively collaborate with various stakeholders.
The ideal candidate brings both technical depth and ethical awareness to the role. With a required MS in a quantitative discipline and significant industry experience, you'll be expected to lead technical discussions, drive engineering investments, and collaborate with industry peers to advance the state of responsible AI development. This position offers the opportunity to make a meaningful impact on how AI technology is developed and deployed at scale, ensuring it benefits society while minimizing potential risks.
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 over 8 years of professional experience
- 3-4 years of hands-on industry experience
- 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
- Strong communication skills
- Experience working across teams of engineers, data scientists, and researchers
- Ability to creatively prioritize and solve complex problems
