Lead/Principal Responsible AI Research Scientist

griddable.io; Palo Alto (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

A leading company in AI research is seeking a Lead/Principal Responsible AI Research Scientist passionate about ethical AI. This role involves leading tools and frameworks to ensure fairness, accountability, and transparency in AI systems, guiding cross-functional teams, and contributing to responsible AI practices. This high-impact position requires strong expertise in machine learning and AI fairness, promising a competitive salary in the Palo Alto area.

Qualifications

• Minimum 8 years of experience with a Master's or Ph.D.
• Practical experience in machine learning.
• Fluent in building machine learning models.

Responsibilities

• Analyze data for trust and safety issues and define testing protocols.
• Guide teams on responsible AI best practices.
• Collaborate with industry leaders to improve responsible AI development.

Skills

Machine Learning

AI Fairness

Transparency

Explainability

Python

SQL

Education

MS or Ph.D. in a quantitative discipline

BS in a quantitative discipline

Job description

Lead/Principal Responsible AI Research Scientist

Lead/Principal Responsible AI Research Scientist

2 days ago Be among the first 25 applicants

Description

Salesforce AI Research is seeking a forward-thinking and accomplished researcher with deep expertise in AI fairness, accountability, transparency, and explainability (FATE). In this high-impact role, you will operate at the forefront of responsible AI development, working closely with research scientists and engineers in AI Research, as well as cross-functional partners in Responsible AI, Agentforce, and other teams across Salesforce.

Description

Salesforce AI Research is seeking a forward-thinking and accomplished researcher with deep expertise in AI fairness, accountability, transparency, and explainability (FATE). In this high-impact role, you will operate at the forefront of responsible AI development, working closely with research scientists and engineers in AI Research, as well as cross-functional partners in Responsible AI, Agentforce, and other teams across Salesforce.

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.

We’re looking for a principled and collaborative thought leader who is passionate about bridging the gap between innovation and ethical implementation. You will engage with interdisciplinary teams, strategic partners, vendors, and customers while upholding Salesforce’s core values: -trust, customer success, equality, innovation, and sustainability.

Check out our website to learn more about Salesforce AI Research team https://www.salesforceairesearch.com

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 with Kubernetes/containerization/RESTful API/gRPC, etc.
• Strong experience leading multi-disciplinary teams driving significant business results
• Knowledge of enterprise SaaS space
• Strong publications at top AI conferences
  
  

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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