Prepare for your Google research interview

Research proposal, technical depth, and collaboration rounds designed for Google AI and research lab interviews.

Socratify AI

The Interview

What Google is looking for

Research Proposal Interview

01Problem Significance

02Methodological Rigor

03Technical Feasibility

04Impact Potential

Technical Depth Interview

Technical Interview

01System Design

02Algorithm Optimization

03Research Scalability

04Production Readiness

Collaboration Interview

Team & Vision Fit

01Communication Clarity

02Intellectual Curiosity

03Collaboration Style

04Growth Mindset

AI research impact at scale//Cross-functional research teams//Publication and patent culture

Practice Library

Google exercises

Ready to ace your Google research interview?

Prepare for your Google research interview

Research proposal, technical depth, and collaboration rounds designed for Google AI and research lab interviews.

Socratify AI

The Interview

What Google is looking for

Research Proposal Interview

01Problem Significance

02Methodological Rigor

03Technical Feasibility

04Impact Potential

Technical Depth Interview

Technical Interview

01System Design

02Algorithm Optimization

03Research Scalability

04Production Readiness

Collaboration Interview

Team & Vision Fit

01Communication Clarity

02Intellectual Curiosity

03Collaboration Style

04Growth Mindset

AI research impact at scale//Cross-functional research teams//Publication and patent culture

How It Works

Master Google Research Interviews

Research proposals, technical depth, and collaboration rounds evaluated on Google research standards. · Click to expand

1Your Grad School Goals

Research Methodology

Practitioner

Technical Problem Solving

Practitioner

2Grad School Case Prep

Propose a novel approach to improving language model factuality. Outline your...

LEARNHard

Google

3Frameworks

Framework

Advisor capacity and mentorship constraints?

Students per advisor increasing?

Avg advisees per faculty: 7.2 (was 5.8 two years ago)

Meeting frequency: 2.1x/month (target 3x/month)

Research direction instability slowing progress?

Thesis direction changes: 1.8x per student (target: 1.0)

Months lost to re-scoping: avg 4.3 months per pivot (n=23)

Research infrastructure and resource bottlenecks?

Computational resource constraints?

GPU cluster wait time: avg 18 days (benchmark: 3 days)

Experiments delayed >1 month: 34% of runs

Data access and curation delays?

Custom dataset curation time: avg 2.1 months

Data governance reviews extending timeline by 6–12 weeks

Funding constraints affecting student support and recruitment?

Stipend or scholarship instability?

Students working outside research: 22% (benchmark: 8%)

Average time diverted: 8 hours/week outside core work

Candidate quality declining due to lower visibility?

PhD applicant pool size: -18% YoY

Accepted students choosing competitors: 32% (up from 18%)

4Feedback

Research Rigor

Distinctive

Problem Formulation

Strong

Technical Depth

Meeting Bar

Communication Clarity

Strong

Repeat

Practice Library

Google exercises

Propose a novel approach to improving language model factuality. Outline your...

LEARNHard

AI Research · Research ProposalGoogle

Design a system to efficiently search and retrieve relevant research papers from a...

LEARNHard

Technology · System DesignGoogle

Describe your research background and how it aligns with Google's mission in AI. What...

BEHAVIORALMedium

Behavioral · Research VisionGoogle

Walk through a research project where you had to pivot your approach. What did you learn?

BEHAVIORALMedium

Behavioral · AdaptabilityGoogle

How would you approach evaluating a novel neural network architecture? What metrics...

LEARNHard

AI Research · Research MethodologyGoogle