As a Member of Technical Staff - Data + Evals at Basis, you will own the data and evaluation systems that drive our AI agents. Your role includes overseeing data labeling strategies, synthetic data generation, and experimenting with project management. You will collaborate with both research and engineering teams to measure performance, ensuring our systems can tackle complex tasks efficiently.

Ideal candidates for the Member of Technical Staff - Data + Evals position at Basis should have 5-10 years of experience in data-heavy workflows, experiment design, and project management. A strong understanding of business contexts and the ability to communicate complex concepts clearly are essential. While experience in machine learning and project management is advantageous, we value exceptional talent regardless of formal qualifications.

In the Member of Technical Staff - Data + Evals role at Basis, your work is crucial in enhancing the effectiveness of our AI systems. You will be responsible for developing systems that track and improve AI performance through data monitoring and evaluation, allowing our agents to complete sophisticated accounting workflows successfully and efficiently.

Basis fosters a fast-paced, innovative, and collaborative work environment. As a Member of Technical Staff - Data + Evals, you will join a team committed to pushing the boundaries of technology in accounting. You'll experience a culture of ownership, passion, and inquisitiveness, where in-person interactions are encouraged to enhance teamwork and creativity.

As a Member of Technical Staff - Data + Evals at Basis, you'll manage various projects focused on data systems that power our AI agents. This includes designing data evaluation processes, launching experiments for performance measurement, and developing automated systems that ensure our agents handle complex tasks efficiently and effectively.

When answering this question, highlight specific projects you've worked on, detailing how you used data to drive decision-making and improve system performance. Discuss methodologies you have employed and how they contributed to business goals, showcasing your technical skills and business acumen.

In your response, share a strategy that works for you, such as using project management tools or frameworks like Agile. Provide examples of how you've successfully balanced priorities in the past, emphasizing your ability to maintain focus on critical deadlines and deliverables.

This is an opportunity to demonstrate your communication skills. Discuss a specific instance when you simplified a technical concept for a non-technical audience. Explain the approach you took to break down the concept into relatable terms and how it aided the stakeholder’s understanding and decision-making.

In your answer, discuss various evaluation metrics you've utilized, such as accuracy, precision, recall, or other relevant KPIs. Explain how you adapt evaluation methods based on different project goals and the importance of continuous monitoring and improvement for AI systems.

Share how you keep your knowledge current, such as following leading industry publications, participating in online courses, attending conferences, or engaging with technical communities. Highlight any recent insights that have shaped your understanding or influenced your work.

Here, express your genuine enthusiasm for this field and explain why AI's potential in streamlining accounting processes appeals to you. Talk about the impact of effective AI on improving efficiency, accuracy, and decision-making within financial operations.

Highlight a specific project where you collaborated with members from different disciplines. Detail the project's objectives, your role, how you engaged with team members, and the final outcome, showcasing your project management and teamwork skills.

Discuss your experimentation methodology, such as formulating hypotheses, designing experiments, and interpreting the results. Provide examples from your past experiences where your experiments significantly impacted project outcomes or improved processes.

In your response, communicate your vision for how AI can innovate traditional accounting practices. Discuss specific areas where AI can enhance efficiency, reduce human error, and lead to data-driven insights, thus showing your industry knowledge and future-oriented mindset.

Share your passion for working in dynamic settings where innovation thrives. Talk about your adaptability, your eagerness to tackle new challenges, and how you can contribute positively to a rapidly growing team striving toward significant milestones.