Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.

Lead end-to-end technical deployments of spatial AI across retail partners, author and maintain program plans spanning CV, hardware, and software, coordinate logistics and on-site setup, break rollouts into metric-driven repeatable processes, and participate in system architecture trade-offs across front-end, back-end, and CV systems.

Leads advanced computer vision R&D and production engineering for real-time retail edge deployments. Designs and optimizes deep learning, computer vision, and vision-language models; validates algorithms through evidence-based analysis; and deploys high-throughput, low-latency ML pipelines. Responsibilities include TensorRT and CUDA optimization, Docker-based cloud and embedded deployment, image registration and warping, and translating fundamental research into production-grade systems while providing technical leadership.

Build end-to-end front-end tooling and active-learning agents for a spatial CV platform. Train and deploy lightweight CV models, create pre-labeling and annotation systems, design planogram and spatial interfaces, and iterate rapidly to deliver intuitive visual workflows for researchers and non-technical users.

Lead and scale a multidisciplinary engineering organization building real-time, AI-driven spatial computing applications. Define technical strategy, oversee architecture, ensure platform scalability and reliability, collaborate cross-functionally, and cultivate engineering culture and talent.