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Google·Software Engineer·Technical Phone Screen·Senior

Senior
Apr 2026

Summary

Interviewed for a research scientist role at Google. The conversation was less about past work and more about where I thought the field was going and what I'd actually do once I got there. Felt more like a research discussion than a traditional interview, which I wasn't fully ready for.

Questions Asked (1)

Q1

If you joined the team, what would you focus on? What are the biggest unsolved problems in your research area, and how would you go about tackling them?

Product StrategyAdaptability & AmbiguityCross-functional Alignment
Author's notes

This is the question I underestimated.

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AI HintsAI Generated

Suggested Approach

Start by aligning your focus with the team's mission and Google's broader goals, then demonstrate deep technical insight by identifying a specific unsolved problem in your research area. Propose a concrete, iterative plan to tackle it, emphasizing collaboration and measurable impact.

Pro tip: Show that you've done your homework on the team's current projects and challenges, and frame your focus as a natural extension of their work—this signals you're already thinking like a team member.

1. Align with team and company goals

Briefly state how your focus would support the team's immediate objectives and Google's long-term vision, referencing specific projects or technologies.

2. Identify a key unsolved problem

Choose one or two significant open problems in your research area that are relevant to the team, and explain why they matter and why they're hard.

3. Propose a technical approach

Outline a high-level plan to tackle the problem, including initial steps, potential methodologies, and how you'd validate progress.

4. Emphasize collaboration and iteration

Describe how you'd work with cross-functional partners, iterate based on feedback, and adapt as you learn more.

5. Define success and impact

Explain how you'd measure success and the potential impact on users, the team, and the broader research community.

Key Points to Mention

  • Specific examples of unsolved problems in your research area (e.g., scalability, efficiency, fairness, robustness).
  • Google's AI principles or relevant technologies (e.g., TensorFlow, TPUs, large-scale systems).
  • Cross-functional collaboration with product managers, researchers, and other engineers.
  • Iterative development and rapid prototyping to de-risk ideas.
  • Metrics for success, such as latency, accuracy, user engagement, or adoption.
  • Your unique skills or experiences that position you to make an immediate contribution.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.