Salesforce Lead/Principal Responsible AI Research Scientist 

United States, California, Palo Alto 

989000542

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Job Details

You will lead the design and implementation of tools and frameworks that ensure our AI systems are fair, accountable, and transparent. Using advanced machine learning techniques, you’ll generate actionable insights, drive research excellence, and support responsible AI practices across the full development lifecycle—from experimentation to production deployment.

Job Responsibilities:

• Analyze data and models to identify potential trust and safety issues; define testing protocols for different data types and model architectures; recommend mitigation strategies, tooling investments, and safe thresholds for deployment.
• Define technical goals and guide research/engineering teams on responsible AI best practices. Offer development support and thought leadership on critical ethical tradeoffs in algorithmic design.
• Contribute to the development and adoption of libraries and tools that support evaluation, testing, and mitigation of risks. Build features that enhance explainability and user trust in model outputs.

• Collaborate with industry leaders in similar positions in peer organizations on ways to improve the state of responsible AI development.

Minimum Qualifications:

• Practical experience in machine learning

• MS or Ph.D. in a quantitative discipline with 8+ years of experience or a BS in a quantitative discipline with 10+ years of experience.

• Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets.

• Proficient in using Python and common machine learning frameworks (e.g., TensorFlow, PyTorch) and AI tools (e.g., cursor, W&B, huggingface) to implement models and algorithms.

• Proficient in SQL, shell scripting, and Unix/Linux command-line tools.

• Up to date on the evolution of trusted AI and ability to meet both state-of-the-art and global standards for

• evaluation, particularly in generative AI

• Experience working across teams of engineers, data scientists, and researchers.

• Strong communication skills. Comfortable presenting ideas to peers, cross-functional groups, and executives in multiple formats, from slide decks to informal chats.

• Earns trust in relationships both internally and externally, and at all levels of the organization. Challenges the status quo to improve the productivity, effectiveness, and culture of a team - without burning bridges.

• Ability to creatively prioritize, stage, and sequence solutions to challenging/complex problems.

• Demonstrated experience with actually shipping code, getting data science into production

• Ability to stay abreast of the latest findings in the field, new technologies, and best practices

• Passion for the idea that technology can be a force for social good and for ethics and fairness.

Preferred Qualifications:

• 10+ years of business experience

• Experience with designing and building micro-services, familiar withKubernetes/containerization/RESTfulAPI/gRPC, etc.

• Strong experience leading multi-disciplinary teams driving significant business results

• Knowledge of enterprise SaaS space

• Strong publications at top AI conferences

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