Lead AI Research Scientist II – Digital Safety

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee advanced research initiatives in natural language processing, computer vision, signal processing, and AI reasoning.

• Spearhead research on AI safety, including conducting literature reviews, designing experiments, engineering software, acquiring data, analyzing findings, and documenting processes.

• Develop, design, and manage independent research programs aimed at safeguarding the public from potential AI system risks.

• Lead and participate in competitive research proposals by utilizing Heilmeier criteria to outline the scope, methodology, and expected outcomes.

• Act as the principal investigator for Digital Safety independent test and evaluation research initiatives.

• Leverage knowledge in AI and software engineering to implement and oversee research programs.

• Evaluate experimental findings, diagnose issues, propose solutions, and assess technical specifications.

• Strategize, design, and execute procedures for validating testing and evaluation outcomes.

• Create and implement research challenges while utilizing and enhancing DSRI evaluation tools.

• Organize workshops at prominent AI safety research conferences and present comparative research findings.

• Remain updated on evolving technologies through academic papers, scientific publications, and conferences.

• Lead or contribute to both department-specific and cross-functional projects.

⛳️ Requirements

• Proven general knowledge in the fields of AI and software engineering.

• Demonstrated experience in securing research funding through the development of competitive proposals.

• Proven capacity to write and successfully win proposals for prestigious research workshops.

• Established ability to attract invitations for keynote presentations.

• Exceptional communication abilities.

• Advanced skills in AI engineering, software engineering, and data analysis.

• Competence in collaborating with research scientists, engineers, team members, and external collaborators.

• Capability to publish research findings at leading academic conferences.

• PhD in Computer Science with a focus on a relevant AI specialty, accompanied by 8 or more years of directly related research experience; or

• Master’s degree in Computer Science with an emphasis on a relevant AI specialty, along with 10 or more years of directly related research experience; or

• Bachelor’s degree in Computer Science centered on a pertinent AI specialty, plus 12 or more years of directly related research experience.

🏝️ Benefits

• Eligibility for bonus compensation.

• Comprehensive medical insurance coverage.

• Dental insurance.

• Vision insurance.

• Life insurance.

• 401(k) matching up to 5% of eligible pay.

• Additional 4% retirement savings contribution after the first year of continuous employment.

• Potential for flexible working arrangements based on the role.

• Paid vacation days.

• Paid holidays.

• Paid sick days.

• Paid volunteer days.

• Targeted programs for development, rewards, and recognition.