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Research Engineer, Data Infrastructure (Language Modeling)

Cartesia*HQ - San Francisco, CAResearch
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Salary
$200K – $350K
Job type
Full-time
Experience
Senior
Posted
24 Sept 2026
Status
Open · checked 7d ago

About this role

The Research Engineer, Data Infrastructure (Language Modeling) role at Cartesia is an in-office position based in San Francisco, California, that suits a candidate with hands-on experience in machine learning data infrastructure. This position focuses on building scalable data systems and datasets to drive the pretraining of foundational language models.

Role Overview

Cartesia seeks a Research Engineer for Data Infrastructure to construct the datasets and systems powering model pretraining. The professional in this position develops high-throughput data pipelines and collaborates closely with research teams to optimize dataset compositions and characteristics.

Key Responsibilities

Build and operate performant data processing infrastructure for acquiring, ingesting, and combining massive text datasets.
Design and manage scalable, high-throughput, and reproducible data pipelines for ingestion, preprocessing, filtering, deduplication, and augmentation.
Design and execute ablation experiments to measure how data sources, processing decisions, and mixture weights impact model quality.
Partner with research and infrastructure groups to co-design data loading, versioning, and experimentation workflows.
Establish and enforce high standards for data quality to connect dataset traits with model behavior.
Source novel datasets and manage budgets and relationships with external data vendors and partners.

Requirements

Hands-on background in machine learning data infrastructure, including training data pipelines, dataset versioning, large-scale data loading, and the connection between data systems and model training and inference.
Strong modern engineering execution capabilities, featuring clean and tested code, fluency in current tools, and flexibility in selecting tools for specific problems.
Familiarity with building and evaluating datasets for generative models, combined with a working knowledge of model training and inference.

Nice to Have

Experience utilizing parallel infrastructure such as Ray, Spark, or Kubernetes for large-scale data processing.
Experience involving the pretraining of language models.

Skills and Tools

Ray
Spark
Kubernetes
Data processing pipelines
Large-scale data loading
Dataset versioning

Salary and Benefits

The salary range for this role is $200,000 to $350,000 with offered equity. US employee benefits include fully covered medical, dental, and vision insurance for employees and their families, 12 weeks of maternity leave, 9 weeks of paternity leave, a 401(k) plan, a monthly commuter allowance, flexible paid time off, and daily meals and snacks provided in the office.

About the Company

Cartesia is an artificial intelligence organization focused on building AI that learns from and interacts with the world similarly to humans. Founded by PhDs from the Stanford Animal Lab who invented State Space Models, the company is backed by prominent investors and industry experts. The team operates out of offices located in San Francisco, London, and Bangalore.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the Research Engineer, Data Infrastructure position located?

The role is based out of the company headquarters in San Francisco, California, as part of an in-office team.

What is the salary range for this position?

The salary ranges from $200,000 to $350,000, and the position includes offered equity.

Is visa sponsorship available?

Yes, visa sponsorship support is provided and assessed on a case-by-case basis, depending on factors like the specific role and location.

What benefits are included for US employees?

US employees receive fully covered medical, dental, and vision insurance for themselves and their families, 12 weeks of maternity leave, 9 weeks of paternity leave, a 401(k) plan, a monthly commuter allowance, flexible paid time off, and daily provided meals and snacks.

How should I submit my application?

Candidates must apply through the official company careers page.

Ready to apply?

The application is on the official Cartesia careers page.

Apply on company site