Teams at Meraki Labs

Execute manual functional, regression, UI, exploratory, cross-browser, cross-device, and API testing for web and mobile applications. Create test cases, plans, bug reports, and acceptance criteria; use AI-assisted tools to expand coverage and improve regression efficiency. Collaborate with developers to reproduce and verify fixes, support release readiness reviews, and evaluate emerging AI QA tools across portfolio companies.

Assist with designing, developing, deploying, and researching AI models and applications. Support data collection, preprocessing, analysis, product integration, code reviews, documentation, and quality improvements while collaborating with senior engineers. The role emphasizes strong fundamentals, practical AI/ML experience, open-source or user-facing project work, academic excellence, and teamwork.

Build and optimize multilingual ASR/TTS and voice-to-voice systems for conversational AI agents. Develop agentic RAG pipelines, LLM orchestration, self-learning agents, and guardrails supporting interruptions and natural pauses. Deploy scalable, secure, reliable ML systems in low-latency real-time environments while collaborating with product, engineering, and MLOps teams.