Okay, I found several Engineering Intern roles focused on Generative AI in the United States that are remote-friendly. These positions emphasize Data Structures and Algorithms. There are currently 57 listings that align with your background in Computer Science and showcase technical skills. You can review these opportunities now.

Sure. Here's the analysis:

Job Analysis:

The Engineering Intern role at Drivetrain focuses on harnessing Generative AI to enhance the Financial Planning & Analysis platform, aiming to empower businesses in their decision-making processes. The core responsibilities include developing and prototyping innovative AI solutions, collaborating across teams to integrate features, and optimizing system performance through strong computer science fundamentals. This position requires candidates to engage in real-world projects, implying a hands-on approach to problem-solving and creativity, which aligns with the company's mission to empower effective decision-making. Success in this role hinges on the candidate's technical aptitude in AI concepts and their ability to communicate findings effectively, as well as their initiative in exploring new ideas. Overall, thriving in this role involves not just technical prowess but a collaborative spirit and a willingness to engage in iterative learning and experimentation.

Company Analysis:

Drivetrain occupies the intersection of financial planning and advanced AI technologies, positioning itself as an innovative player in the business automation domain. Founded by ex-Googlers and backed by venture capital, it is on a growth trajectory, appealing to candidates motivated by the prospect of contributing to a high-impact, evolving product. The company's remote-first culture emphasizes autonomy, open communication, and a proactive approach to idea generation, suggesting that employees are trusted to take initiative and contribute meaningfully. This environment can foster creativity but might also demand self-discipline and confidence in one's ideas. The Engineering Intern will likely have high visibility within the organization, working closely with product and engineering teams, which can be advantageous for professional development. The role supports Drivetrain's mission by focusing on cutting-edge technology applications that enhance operational efficiencies, making it both a strategic and growth-focused hire as the company aims to redefine FP&A automation.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to solve a complex technical problem. How did you approach it?
• Can you discuss an end-to-end project you completed that utilized AI or machine learning? What challenges did you face?
• Describe a situation where you collaborated with others to achieve a project goal. What was your role in that collaboration?
• How do you prioritize your tasks when working on multiple projects with tight deadlines?
• What strategies would you use to prototype a Gen AI solution for an FP&A use case?
• Can you explain how you would optimize an algorithm to improve efficiency?
• What tools have you used in past projects for data analysis and AI model implementation?
• Imagine you discover a significant flaw in an AI model you've built. How would you address this issue and communicate it to your team?
• Why are you interested in working at Drivetrain, and what excites you about the opportunity to work on Gen AI projects?
• How do you see your skills and values aligning with Drivetrain's mission and company culture?
• What do you hope to learn from your internship experience at Drivetrain?
• What recent trend in AI excites you the most and how would you apply it to the FP&A space?
• What questions do you have about the mentorship opportunities available within the team at Drivetrain?
• Can you describe a time when you took a risk in a project? What was the outcome?