Lead Applied Research Scientist - Responsible AI
Description For Lead Applied Research Scientist - Responsible AI
Salesforce's Office of Ethical and Humane Use is seeking a Lead Applied Research Scientist to spearhead responsible AI development initiatives. This role combines cutting-edge AI research with ethical considerations, focusing on ensuring AI products align with Salesforce's ethical use and responsible AI principles.
The position offers a unique opportunity to work at the intersection of advanced AI technology and ethical implementation, collaborating with Salesforce AI Research and Frontier AI teams. The role involves developing and implementing responsible AI processes, including bias assessments, accuracy measurements, harms modeling, and AI model trust and safety.
As a Lead Applied Research Scientist, you'll be instrumental in shaping the future of responsible AI development, working with cross-functional teams to deliver guidance and guardrails for next-generation AI systems. The role requires a deep understanding of both technical AI concepts and ethical considerations, making it perfect for someone passionate about ensuring AI development benefits society while minimizing potential risks.
The position offers competitive compensation ranging from $151,800 to $323,400, depending on location, and provides an opportunity to work with world-class researchers and engineers. You'll be part of a team that's directly influencing how AI technology is developed and deployed responsibly at scale, making a significant impact on the future of enterprise AI applications.
This role is ideal for candidates who combine technical expertise with a strong ethical compass and want to work at a company that prioritizes responsible innovation. You'll have the opportunity to publish research, present at major conferences, and contribute to the broader discourse on AI ethics and safety.
Responsibilities For Lead Applied Research Scientist - Responsible AI
- Develop strategy for creating and shipping cutting-edge generative AI capabilities while mitigating ethical risks
- Identify potential negative consequences and develop mitigations
- Conduct trust and safety assessments and CRM benchmarking
- Develop solutions for real-world, large-scale problems
- Lead teams on complex pure and applied research projects
Requirements For Lead Applied Research Scientist - Responsible AI
- Master's degree in Computer Science, Engineering, Information Systems, Data Science, or related field
- 5-8 years of relevant experience in AI ethics, AI research, Security, Trust & Safety
- Expertise in alignment, adversarial robustness, interpretability/explainability, or fairness in generative AI
- Proven leadership and organizational skills
- Experience working in technical environment with cross-functional teams
- Excellent written and oral communication skills
- Strong programming skills
- Experience in implementing high-performance and large-scale deep learning systems
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