Causal Labs - Member of Technical Staff — Product Engineering

San Francisco, California, United States3w ago

In Office Staff NA Cloud Computing Machinery Staff Engineer Prospecting AWS GCP Azure Docker

Requirements

• We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. • Strong generalist software engineering skills across the stack: backend systems, APIs, cloud infrastructure (GCP, AWS, or Azure), and modern frontend frameworks • Experience deploying and operating ML systems in production, ideally across diverse or customer-controlled environments • Familiarity with containerization, orchestration, and infrastructure-as-code (e.g. Kubernetes, Docker, Terraform) • Comfort working directly with customers: scoping ambiguous problems, building demos under time pressure, and representing the company technically • Background in scalable model serving & deployment architectures and the systems around them • Owns deliverables end-to-end, from requirements through autonomous execution

Responsibilities

• Build and operate the production systems that deliver model predictions to customers around hard real-time deadlines — owning reliability end to end, from cost efficiency to monitoring, alerting, and incident response • Design and build the full product surface: backend APIs and data delivery, integration patterns, and frontend dashboards and visualizations that make predictions actionable • Own the packaging, security, observability, and upgrade machinery to deploy our product into customer environments — cloud, VPC, on-prem, and restricted networks • Create product demos and prototypes with and for prospective customers, iterating rapidly alongside go-to-market • Work directly in customer environments when needed: integrate with their data and systems, ship solutions on-site, and translate what you learn into requirements for research and product • Design the tooling and playbooks that let solutions built for one customer generalize to the next