AI Safety Lead

The AI Safety Lead at Lila Sciences is responsible for developing and executing the AI safety strategy tailored to scientific systems, implementing safety controls and governance structures for AI deployment, and engaging cross-functionally to integrate safety principles into model development. Additionally, you'll represent Lila Sciences within the AI safety community, ensuring our practices are aligned with industry best standards.

To excel as the AI Safety Lead at Lila Sciences, candidates must have proven expertise in AI safety and risk management for autonomous systems, a solid technical background in AI/ML, and familiarity with AI governance frameworks. A minimum of 4 years of experience in AI safety, along with excellent communication skills to influence decisions and engage stakeholders, is essential.

The AI Safety Lead will provide regulatory and ethical guidance, ensuring that AI/ML safety regulations and ethical considerations are incorporated effectively into all aspects of AI development at Lila Sciences. This role includes the assessment of AI applications in high-stakes environments, making sure that best practices are followed.

The AI Safety Lead at Lila Sciences will have access to a range of advanced technologies, including AI experimental design and simulation tools, automated liquid handling instruments, and generative molecular design platforms, all aimed at supporting the safe deployment of AI in the scientific environment.

Lila Sciences fosters a cross-functional, inclusive, and creative work environment where team collaboration is key. As an AI Safety Lead, you'd engage with various teams, sharing ideas and innovations, and all voices would be encouraged as part of our unique culture aimed at transforming science through AI.

When answering this question, discuss specific examples from your previous roles where you implemented safety strategies. Highlight any frameworks or methodologies you utilized to evaluate AI models and ensure compliance with safety standards.

Explain your process for identifying risks associated with AI systems, particularly in scientific applications. Discuss any risk assessment frameworks you've worked with and how you ensured these risks were communicated effectively to stakeholders.

Outline your knowledge of AI governance frameworks and relevant regulations. Provide examples of how you've ensured compliance in past projects, including collaborating with legal teams or working on internal audits.

Discuss your approach to embedding safety principles into the AI development process. Share any methodologies that prioritize safety without compromising model performance, and emphasize collaboration with cross-functional teams during this process.

Identify key metrics that can be used to assess the robustness, alignment, and performance of AI models. Discuss your experience in developing evaluation methodologies and how they can influence decision-making.

Share a real case where you encountered a challenge in implementing AI safety measures. Discuss the steps you took to address the issue, focusing on your problem-solving skills and the outcome of your actions.

Mention your strategies for staying current in the field, such as following industry leaders, participating in conferences, or engaging in professional networks. Highlight any specific resources you utilize to remain informed.

Emphasize the importance of effective communication as an AI Safety Lead. Discuss how you plan to facilitate open dialogue among stakeholders, ensuring all parties are engaged in safety discussions and decision-making.

Talk about your collaborative approach, emphasizing the importance of working closely with researchers to integrate safety practices seamlessly into their workflows. Share examples of how you have enabled such collaboration in past roles.

Discuss recent advancements in AI safety that have captured your interest, and explain how these innovations can be applied within the scientific community, particularly in settings like Lila Sciences.