Senior Software Engineer - ML Infrastructure
We're looking for a Senior Machine Learning Engineer to build and scale the infrastructure that powers our AI-driven warehouse intelligence platform. You'll own the end-to-end lifecycle of ML vision models — from training pipelines through optimized cloud deployment — ensuring our cutting-edge computer vision and multi-modal AI systems run reliably and efficiently in production. Your work will directly enable the real-time perception and autonomous decision-making capabilities at the core of our platform.
This is a deeply technical role at the intersection of machine learning, computer vision and distributed systems. You'll design scalable GPU compute clusters, build robust orchestration pipelines, and optimize model serving for low-latency inference at scale. You'll work closely with our research scientists, computer vision engineers, and product teams to bridge the gap between experimental models and production-ready systems that operate across diverse warehouse environments. We've found tremendous value in collaborative problem-solving, thus our team works from our SF office three days a week.
Responsibilities
Build end-to-end ML pipelines — from data ingestion and preprocessing through model training, evaluation, and deployment — and integrate them into core product workflows.
