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Sr. Director, Responsible AI Testing, Evaluation, and Alignment

AT Salesforce
Salesforce

Sr. Director, Responsible AI Testing, Evaluation, and Alignment

Seattle, WA

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Job Category
Data

Job Details

About Salesforce

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Salesforce's Office of Ethical and Humane Use seeks a Senior Director to manage our technical work in AI Testing, Evaluation, and Alignment. Working together with the VP of Responsible AI & Tech, the Chief Ethical & Humane Use Officer, and the entire Office of Ethical & Humane Use, you will lead a cross-functional team of Responsible AI engineers and research scientists. You will apply your technical skills to help uphold our principles for the responsible development and deployment of AI. The ideal candidate will have experience managing technical and/or applied research teams (with a special emphasis on AI), as well as direct experience with AI ethics, alignment, and/or safety.

Job Responsibilities:

Develop and manage the Responsible AI team's roadmap of contributions toward Salesforce's overall Trusted AI/ML lifecycle, ensuring we are safely training, aligning, evaluating, implementing mitigations, deploying, and monitoring models. With AI ethicists and AI researchers, ensure the responsible and safe development, evaluation, and maintenance of generative foundation, and predictive models.

Drive the workstream to identify, set, and evaluate standards of ML/AI models in collaboration with AI ethicists and AI research scientists; support monitoring them post-deployment for continual improvement.

Manage ongoing ethical evaluation and testing (including adversarial testing and red teaming) of ML/AI models and products:

With the team, implement automation strategies for conducting AI Red Teaming and Testing and the development of tools, data, and pipelines to support that work

With the team, build tools to enable testing to take place at scale. Enable product/engineering teams to perform their own tests through tooling and playbooks.

Lead the process of scoping, documenting, and executing testing with partner teams, including the implementation of mitigations identified during testing.

Lead development and testing of content safety strategy, including culturally sensitive localization and globalization efforts.

In collaboration with others, help establish mechanisms for ongoing monitoring, evaluation, and reporting of AI systems to ensure alignment with ethical standards and regulatory requirements.

Lead the creation of evaluation datasets for potential risks and harms of language and multimodal models.

As a player-coach, provide guidance, mentorship, and technical leadership to a multidisciplinary team of technical and socio-technical experts.

As part of the Responsible AI leadership team, create the technical vision and execute the strategic roadmap to advance AI trust and safety at Salesforce.

Minimum Requirements:

  • Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Data Science, Statistics, or a related field
  • 8+ years of relevant technical experience in Software Engineering Management, AI ethics, AI research, Data Science Management, or similar roles - of which, at least 2+ years are in a relevant leadership/people management role
  • Proven leadership, organizational, and execution skills. Passion for developing cutting-edge AI ethics technology and deploying it through a multi-stakeholder approach
  • Experience in applying ML and AI technologies in a Generative AI context responsibility/ethically; solid ML-focused engineering and research skills, particularly around using and training models and deploying them in systems
  • Have proficiency in SQL, Python, and data analysis/data mining tools.
  • Experience working in a technical environment with a broad, cross-functional team to drive results, define requirements, coordinate resources from other groups, and guide the team through key milestones
  • Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audiences

Preferred Requirements:

  • 10+ years of relevant experience in AI ethics, AI research, Software Engineering Management, Data Science Management, Trust & Safety, or similar roles
  • Demonstrated track record of influential projects and publications in relevant fields and top-tier conferences and journals (such as NeurIPS, ICML, AAAI, CHI, FAccT).

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

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 New York-based roles, the base salary hiring range for this position is $244,500 to $372,900.

For Washington-based roles, the base salary hiring range for this position is $224,100 to $341,900.

For California-based roles, the base salary hiring range for this position is $244,500 to $372,900.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Client-provided location(s): Seattle, WA, USA; San Francisco, CA, USA; New York, NY, USA; Palo Alto, CA, USA; Bellevue, WA, USA; Hillsboro, OR, USA
Job ID: Salesforce-JR260388
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Leave
    • Return-to-Work Program
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Professional Coaching
    • Work Visa Sponsorship
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Unconscious Bias Training
    • Diversity, Equity, and Inclusion Program

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