Teams at Arlo Technologies

Lead end-to-end qualitative and quantitative UX research, including interviews, surveys, usability testing, participant recruitment, data analysis, and synthesis. Collaborate with designers, product managers, and cross-functional teams to translate insights into product improvements. Develop research reports, present findings to stakeholders and executives, and support research operations. The role focuses on improving mobile app engagement, onboarding, customer outcomes, and business metrics.

Build and improve an autonomous AI coding agent that understands tasks, generates and tests code, self-repairs, reviews changes, and integrates with developer tools. Design codebase retrieval and knowledge systems, build scalable Python services and APIs, leverage LLMs, develop agent evaluations, and identify automation opportunities with platform and product teams. The role requires strong software engineering, cloud infrastructure, CI/CD, testing, and end-to-end ownership.

Own applied AI models powering Arlo’s smart vision products, including computer vision, vision-language, retrieval, and agent systems. Responsibilities span model training, fine-tuning, evaluation, data curation, embeddings, vector search, inference optimization, production deployment, and telemetry. The role requires hands-on technical leadership, cross-functional collaboration, mentoring, and end-to-end ownership of scalable AI features across edge and cloud environments.