General Interest Application

As a General Interest Application team member, you'll engage in innovative projects that may involve AI/ML model development, fine-tuning, and the evaluation of online safety systems. Your work will contribute to shaping how we detect harmful content and support online safety solutions. We encourage versatile approaches, allowing you to work across various domains such as product development, data science, or even human-in-the-loop AI systems, collaborating with top engineers and researchers.

While there are no strict qualifications for a General Interest Application role, we value candidates with experience or a keen interest in fields such as AI/ML, deep learning, or scalable infrastructure. Your ability to navigate the complexities of transformer-based architectures or data science can be a great asset. A collaborative spirit and a passion for solving real-world problems will also be beneficial in making an impact with us.

Candidates should possess skills related to Large Language Models (LLMs), knowledge of NLP, or experience in abuse detection technologies. Familiarity with human-in-the-loop systems and AI safety practices is advantageous. Additionally, having a background in scalable infrastructure and MLOps would align well with our mission at the intersection of AI, safety, and technology.

While prior experience in AI is valuable, it's not a strict requirement for a General Interest Application position. We welcome individuals from diverse backgrounds, whether academic or industry-driven, who have a genuine interest in AI technologies and online safety. Your unique perspective could be precisely what we didn’t know we needed yet.

We offer a range of perks for our General Interest Application team members, including competitive compensation and a comprehensive benefits package. Our hybrid work model allows for flexibility, and you’ll have opportunities for professional growth, whether as an individual contributor or a future leader, all while working on mission-driven problems alongside recognized experts in AI and online safety.

When answering this question, share personal experiences or events that sparked your interest in AI technologies and online safety. Discuss how your background and values align with our company's mission to create a safer internet, emphasizing your eagerness to contribute to meaningful projects.

Provide a comprehensive overview of your experiences related to LLMs, including specific models you've worked with, the types of projects you contributed to, and any insights you've gained. Discuss how your expertise fits within our mission to integrate such technologies into safety solutions.

When addressing a problem related to AI safety technologies, it's crucial to approach it systematically. Describe how you would identify potential risks, analyze data sources, involve relevant stakeholders, and test solutions ensuring they meet user needs and safety standards while adhering to ethical considerations.

Highlight any specific instances where you've built or contributed to scalable infrastructure for deploying AI models. Describe the tools and processes you utilized to ensure efficiency, and maintain performance, and how you developed a robust system that can handle growth and complexity.

When answering this question, detail your experience with Human-in-the-Loop (HITL) systems, discussing specific use cases, your role in implementing these systems, and how you see them enhancing AI model reliability. Emphasize your understanding of balancing technology with human judgment.

Share your experience related to building trust and safety tools in tech products. Discuss specific features you developed focusing on user experience, data privacy considerations, or how you’ve collaborated with cross-functional teams to ensure the features align with the company’s safety mission.

In your answer, share your approach to staying informed about AI/ML advancements, such as attending conferences, participating in online forums, or engaging with industry publications. Highlight how this continual learning supports your innovative thinking and can benefit our team's expertise.

Explain your problem-solving process, emphasizing how you analyze challenges, gather insights from team members, and apply critical thinking. Share examples of how you’ve tackled complex technical issues in past roles, and how those experiences can be leveraged at our company.

Discuss a specific collaborative project, focusing on the roles of different stakeholders involved. Share how effective communication facilitated project success and how your contributions helped bridge gaps between technical and non-technical teams, ensuring a streamlined workflow.

In your response, delve into the attributes that contribute to a successful team in AI safety, such as open communication, diverse perspectives, and a shared mission for user safety. Discuss how fostering collaboration and inclusion can yield innovative solutions and a supportive work environment.