Causal Labs
Member of Technical Staff — Product Engineering
San Francisco +1 · On-site · Staff · Full-time · Posted Jul 20, 2026
- Location
- San Francisco
Singapore
About the job
Owns the production systems and customer-facing product surfaces that deliver model predictions reliably, and turns frontier research into deployable customer solutions.
What you'll do
- Build and operate reliable prediction-serving systems, including monitoring, alerting, incident response, and cost efficiency.
- Build APIs, data integrations, dashboards, and deployment tooling for cloud, VPC, on-prem, and restricted environments.
- Develop customer demos and prototypes, integrate with customer systems, and generalize solutions into reusable tools and playbooks.
What they ask for
- Strong software engineering skills across backend systems, APIs, cloud infrastructure, and modern frontend frameworks.
- Experience deploying and operating ML systems in production.
- Familiarity with containerization, orchestration, and infrastructure-as-code.
- Comfort working directly with customers and owning deliverables end to end.
Nice to have
- Experience across diverse or customer-controlled environments.
- Background in scalable model-serving and deployment architectures.
Tools
GCP, AWS, Azure, Kubernetes, Docker, Terraform
AI focus
Deploy and serve machine-learning model predictions reliably in production, including work on a Large Physics foundation Model intended to predict and help control physical systems.
Model-written summary · the original posting is authoritative