Senior Responsible AI Researcher

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

📋 Description

• Lead cutting-edge research projects at the convergence of advanced models, Trust & Safety, model evaluation, and adversarial robustness.

• Initiate and drive research efforts to develop evaluation methodologies for emerging risks such as persuasion, manipulation, sycophancy, and agentic safety.

• Establish safety benchmarks across various Generative AI modalities including Text, Image, Multimodal, and Autonomous Agents.

• Act as a primary technical authority collaborating with AI laboratories, academic institutions, and corporate partners.

• Design, construct, and implement evaluation frameworks, benchmarks, and Agentic Safety Gyms.

• Create adversarial prompting methodologies, red-teaming strategies, and behavioral suites for stress-testing LLMs, Multimodal systems, and AI Agents.

• Explore emerging safety risks such as bias and jailbreaking tactics within multimodal and autonomous architectures.

• Lead collaborative research initiatives with academic and industry partners.

• Represent the organization at global conferences, AI safety summits, and industry events.

• Publish research outcomes in leading AI and safety publications.

• Collaborate with Product, Engineering, Go-To-Market, Policy, and Delivery teams to translate research into safety products and client-facing solutions.

• Engage with technical stakeholders and enterprise clients to convert safety and governance requirements into research inquiries, experiments, and evaluation suites.

• Provide technical guidance and mentorship to junior researchers, data scientists, and engineers.

• Incorporate social science, policy, and technical viewpoints into safety tools and methodologies.

⛳️ Requirements

• PhD in Science, Technology and Society Studies (STS), Machine Learning, AI Ethics, Social Data Science, or a closely related research area.

• Strong portfolio of peer-reviewed publications and conference presentations at prestigious venues (e.g., NeurIPS, ICML, ICLR, ACL, IEEE, CVPR, or specialized AI Safety conferences).

• Significant experience in AI Safety, Responsible AI (RAI), Trust & Safety, or Model Evaluation.

• Proficient hands-on skills in Python and contemporary ML/DL frameworks (e.g., PyTorch, Transformers).

• In-depth working knowledge of foundation models, including LLMs, Text-to-Image, Multimodal systems, agents, reasoning systems, and current safety mitigation strategies.

• Demonstrated experience in designing datasets, benchmark suites, red-teaming protocols, or synthetic simulation platforms.

• Proven ability to self-initiate research projects, establish external collaborations, and influence technical direction.

• Exceptional verbal and written communication skills, including the ability to convey complex technical ideas to non-technical stakeholders, executives, and research colleagues.

• Capability to work across technical data science, social science frameworks, and product implementation.

• Previous employment, consulting, advisory, or formal research collaboration with leading frontier AI labs or prominent safety research collectives (preferred/desirable).

• Experience in domain-specific safety applications such as election integrity, psychological manipulation, or agentic behavioral safety suites (preferred/desirable).

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Collaborative and inclusive work environment.