Responsible ML Data Science Engineer
Description For Responsible ML Data Science Engineer
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 while maintaining technical excellence.
The ideal candidate will lead technical initiatives in responsible AI development, focusing on fairness, accountability, transparency, and explainability. They will work on building and evaluating both generative and predictive models, developing testing frameworks, and implementing bias detection and mitigation strategies. The role requires a unique blend of technical expertise in machine learning and a strong commitment to ethical AI practices.
Working in a collaborative environment, you'll partner with various teams across Salesforce to ensure AI systems meet both technical and ethical standards. You'll be responsible for developing metrics, conducting experiments, and creating tools that help ensure AI systems are fair and safe. The position offers the opportunity to shape the future of responsible AI development at one of the world's leading enterprise software companies.
This role is perfect for someone who combines deep technical knowledge with a passion for ethical technology development. You'll have the chance to work on cutting-edge AI systems while ensuring they benefit society. The position offers competitive compensation and the opportunity to work with industry leaders in responsible AI development.
Responsibilities For Responsible ML Data Science Engineer
- 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
- Create notebooks using SQL or Python for advanced analytics
- Develop quantitative metrics for structured datasets
- Monitor and analyze logs data for harms/threats and insights
- Validate synthetic data generation and labeling
- Contribute to libraries and tools for testing and evaluation
- Extract logs and data from various parts of the tech stack for analysis
Requirements For Responsible ML Data Science Engineer
- MS in a quantitative discipline with 8+ years of experience
- Practical experience in machine learning
- Fluent in building/prototyping machine learning models and algorithms
- Proficient in Python and common machine learning frameworks
- Proficient in SQL, shell scripting, and Unix/Linux command-line tools
- Experience with designing and building micro-services
- Strong communication skills
- Knowledge of fairness evaluation in AI
- Experience working across teams of engineers, data scientists, and researchers
Jobs Related To Salesforce Responsible ML Data Science Engineer
