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Data Infrastructure Engineer

thinking machines lab • United State
Visa Sponsorship Relocation
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Design and operate scalable infrastructure for large‑scale LLM research and data pipelines. Build high‑throughput ingestion, processing, and quality systems for petabyte‑scale datasets. Collaborate with researchers and apply expertise in Python, distributed compute, and cloud infrastructure.

Key Highlights
Design fault‑tolerant infrastructure for distributed training and multimodal data.
Develop high‑throughput data pipelines with ingestion, deduplication, and quality checks.
Work closely with research teams to accelerate experiments and improve data quality.
Key Responsibilities
Design, build, and operate scalable, fault-tolerant infrastructure for LLM research, including distributed compute, data orchestration, and storage across modalities.
Develop high-throughput systems for data ingestion, processing, and transformation, such as training data catalogs, deduplication, quality checks, and search.
Build systems for traceability, reproducibility, and robust quality control throughout the data lifecycle.
Implement and maintain monitoring and alerting to ensure platform reliability and performance.
Collaborate with research teams to unlock new features, improve data quality, and accelerate training cycles.
Technical Skills Required
Python Apache Spark Cloud infrastructure
Benefits & Perks
Health, dental, and vision insurance
Unlimited PTO
Paid parental leave
Relocation support
Nice to Have
Kafka
dbt
Terraform
Airflow
Web crawling experience
Deduplication and data mining expertise
Knowledge of Parquet and Delta Lake file formats
Strong documentation and testing practices

Job Description

Abo ut Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

About the Role

We’re looking for an engineer to join us and contribute to data infrastructure. You'll join a small, high-impact team responsible for architecting and scaling the core infrastructure behind distributed training pipelines, multimodal data catalogs, and intelligent processing systems that operate over petabytes of data.

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