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Data Infrastructure Engineer at Thinking Machines Lab - ApplyBlast

Data Infrastructure Engineer

Thinking Machines Lab

2 months ago

Remote

Full Time

Senior

1 applicant

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About this role

Thinking Machines is seeking a Data Infrastructure Engineer to design, build, and operate scalable, fault‑tolerant systems that support large‑scale LLM research, including distributed compute, data orchestration, and storage. The role involves collaborating with research teams to improve data quality, accelerate training cycles, and ensure platform reliability through monitoring and alerting.

Responsibilities

Design and build scalable fault-tolerant infrastructure for LLM research
Develop high-throughput data ingestion and processing systems
Collaborate with research teams to improve data quality and accelerate training cycles

Skills

Qualifications

Bachelor's degree

About Thinking Machines Lab

thinkingmachines.ai

Headquarters

San Francisco, California, United States

Company Size

1-10 employees

View Profile

Thinking Machines Lab is an artificial intelligence research and product company focused on making advanced AI systems more widely understood, customizable, and generally capable. They aim to close gaps between rapidly advancing capabilities and the scientific/public understanding of how these systems are trained and used. Through research, public-facing writing (the Connectionism blog), and products such as their recently introduced Tinker, they build tools and knowledge to help people and organizations tailor AI to their needs and values.