Mid
Ship GenAI features for Google's Maps and Geo products at massive scale
A Software Engineer role on Google's Geo team (Maps, Earth, Street View, Google Maps Platform), focused on implementing GenAI solutions and ML infrastructure work — model deployment, evaluation, optimization, and data processing — for products used by over a billion people monthly. Requires 2 years of software development experience plus 1 year with ML infrastructure and exposure to GenAI techniques like LLMs or multi-modal/vision models.
Step into this interview
Free · a live voice mock calibrated to this exact role
Likely format
Standard Google SWE loop: recruiter screen, 1-2 coding phone screens (DS&A), then onsite/virtual onsite with coding, GenAI/ML infra-focused technical rounds, system design, and a Googleyness/leadership behavioral round.
What this interview tests
- ML infrastructure: model deployment, evaluation, optimization
- GenAI techniques (LLMs, multi-modal, vision models)
- Data structures & algorithms fundamentals
- Large-scale consumer system design (Maps/Geo context)
- Code/design review collaboration practices
Common question themes
Walk through a model you deployed to production and how you evaluated it
How would you apply GenAI/LLM techniques to a Maps or location-based product problem
Coding: data structures and algorithms
Debugging a production issue by tracing impact on service quality
Describe a design or code review that changed your approach
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