Data Scientist / Sr. Data Scientist – Technical AI Ethicist

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About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all. Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Responsible AI Data Scientist Role

Salesforce’s Office of Ethical and Humane Use is seeking an experienced responsible AI data scientist with an adversarial approach and experience conducting ethical red teaming to contribute to our ethical red teaming practice. In this role, you will help us gain a deep understanding of how our models and products may be leveraged by malign actors or through unanticipated use to cause harm. In addition to adversarial testing, you will analyze current safety trends, and develop solutions to detect and mitigate risk, while working cross‑functionally with security, engineering, data science, and AI Research teams. You will bring technical depth to the assessment of AI products, models, and applications, in order to identify the best technical mitigations to identified risks. The ideal candidate will have technical experience in generative as well as predictive artificial intelligence and in responsible / ethical AI.

Responsibilities

Adversarial Testing

Provide technical leadership in designing, prototyping, and implementing comprehensive adversarial testing strategies, including both automated and manual adversarial testing approaches

Mentor and guide collaborator teams on adversarial testing standard processes, helping them develop the skills to conduct their own testing effectively

Collaborate with cross‑functional teams to integrate OEHU adversarial testing frameworks into the AI development lifecycle

Safety and Robustness

Contribute to the development of detection models, safety guardrails, and other proactive measures to prevent and mitigate risks posed by bad actors

Research and implement innovative techniques for enhancing AI safety and robustness, drawing from both open‑source and internal tools

Collaborate with Salesforce’s AI Research team on novel approaches to model safety

Technical Research and Implementation

Write clean, efficient, and well‑documented code (primarily in Python) to support research efforts and facilitate the evaluation of AI systems

Develop and maintain a repository of reusable code modules and libraries to streamline adversarial testing processes

Testing Execution and Collaboration

Participate in scoping, documenting, and implementing tests with partner teams, including the implementation of mitigations identified during testing

Test for technical vulnerabilities, model vulnerabilities, and harm / abuse including but not limited to bias, toxicity, and inaccuracy

Participate in labeling test data in partnership with OEHU and partner teams

Reporting, Documentation, and Continuous Learning

Write reports covering the goals and outcomes of testing operations, including significant observations and recommendations

Continuously monitor and analyze emerging threats and vulnerabilities to inform the development of adaptive safety measures

Continue to grow expertise in model safety by keeping up with research in socio‑technical systems, privacy, interpretability / explainability, robustness, alignment, and responsible AI

Qualifications

• 3-5 years of industry experience in Software Engineering, AI ethics, AI research, Applied research, ML, DS, or similar roles
• Demonstrated ability to think adversarially, ability to anticipate how malicious actors might misuse AI systems and develop corresponding test scenarios
• Experience creating heuristic-based detection logic and rules for identifying anomalous or suspicious activity in production systems and networks (e.g. log analysis, user behavior analytics)
• Experience with problem‑solving and troubleshooting sophisticated issues with an emphasis on root‑cause analysis
• Experience in analyzing sophisticated, large‑scale data sets and communicating findings to technical and non‑technical audiences
• Proven organizational and execution skills within a fast‑paced, multi‑stakeholder environment
• Experience working in a technical environment with a broad, cross‑functional team to get results, define requirements, coordinate assets from other groups (design, legal, etc.), and deliver key achievements
• Excellent written and oral communication skills, as well as social skills, including the ability to articulate technical concepts to both technical and non‑technical audiences.
• Works well under pressure, and is comfortable working in a fast‑paced, ever‑changing environment
• Experience using SQL and relational databases. Ability to use Python, R, or other scripting languages to perform data analysis at scale
• A related technical degree required

Preferred Qualifications

In office expectations are 36 days / a quarter to support customers and / or collaborate with their teams.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications — without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including : time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link : https : / / www.salesforcebenefits.com. 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. For Washington‑based roles, the base salary hiring range for this position is $157,600 to $253,000. For California‑based roles, the base salary hiring range for this position is $172,000 to $276,100.

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