Causal Labs

60 Causal Labs Jobs Hiring Near You

$150 - $230/hr

About Security at Causal Labs As we build and deploy our Large Physics Model, we operate an environment that spans petabytes of continuous physical observations, massive distributed GPU clusters, and ...

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics ...

Deployment Strategist

San Francisco, CA · On-site

$96K - $111K/yr

Our mission is general causal intelligence; AI that is capable of (1) predicting the future and (2) identifying the actions to alter it. To achieve this breakthrough, we are building a Large Physics ...

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Causal Labs Jobs Information

Infographic showing various job openings at Causal Labs in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Member of Technical Staff - ML Infra

Causal Labs

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Causal Labs is a company focused on machine learning infrastructure, and they are seeking a Member of Technical Staff to design and maintain large distributed ML training and inference clusters. The role involves developing scalable pipelines for managing extensive datasets and optimizing performance through innovative research and testing.
Responsibilities:
• Design, deploy, and maintain large distributed ML training and inference clusters
• Develop efficient, scalable end-to-end pipelines to manage petabyte-scale datasets and model training throughout the entire ML lifecycle
• Research and test various training approaches including parallelization techniques and numerical precision trade-offs across different model scales
• Analyze, profile and debug low-level GPU operations to optimize performance
• Stay up-to-date on research to bring new ideas to work
Qualifications:
Required:
• Strong grasp of state-of-the-art techniques for optimizing training and inference workloads
• Demonstrated proficiency with distributed training frameworks (e.g. FSDP, DeepSpeed) to train large foundation models
• Knowledge of cloud platforms (GCP, AWS, or Azure) and their ML/AI service offerings
• Familiarity with containerization and orchestration frameworks (e.g., Kubernetes, Docker)
• Background working on distributed task management systems and scalable model serving & deployment architectures
• Understanding of monitoring, logging, observability, and version control best practices for ML systems
Company:
Causal Labs is a research company building general causal intelligence Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.