Synthetic Data MTS jobs in United States
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Serable · 2 days ago

Synthetic Data MTS

Serable is an early-stage AI startup backed by top venture firms, focused on building core infrastructure for embodied AI agents and simulations. As a Member of Technical Staff, Data, you will own and build the synthetic data pipeline to power large-scale simulations of enterprise environments, requiring technical expertise and collaboration with a small expert team.

Staffing & Recruiting
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H1B Sponsorednote
Hiring Manager
Hannah Morrell
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Responsibilities

Build and maintain end‑to‑end data engineering pipelines for ingestion, transformation, and storage of synthetic datasets
Design robust ingestion mechanisms, transformation layers, and evolve data models and schema strategies
Optimize pipelines for scalability, performance, and cost as data demands grow
Create large‑scale synthetic data simulations representing real enterprise usage, logs, and metrics across services and SaaS systems
Apply research (e.g., papers on simulations and synthetic data) to improve realism and quality of generated data
Maintain realistic consistency and “noise” in synthetic datasets to mirror real‑world enterprise complexity

Qualification

Data engineeringSynthetic data pipelineAI researchInfrastructure designSystem buildingQuality assuranceAmbiguity managementCommunication

Required

Build and maintain end-to-end data engineering pipelines for ingestion, transformation, and storage of synthetic datasets
Design robust ingestion mechanisms, transformation layers, and evolve data models and schema strategies
Optimize pipelines for scalability, performance, and cost as data demands grow
Create large-scale synthetic data simulations representing real enterprise usage, logs, and metrics across services and SaaS systems
Apply research (e.g., papers on simulations and synthetic data) to improve realism and quality of generated data
Maintain realistic consistency and 'noise' in synthetic datasets to mirror real-world enterprise complexity
You thrive in fast-paced, ambiguous environments and are excited by frontier technical problems
You enjoy building systems from the ground up and are willing to work across the stack
You are comfortable communicating with AI assistants/agents and can manage multiple parallel technical threads
You care deeply about quality and precision while moving quickly
You understand at least one of the following deeply: AI research, low-level infrastructure, or AI agent engineering

Preferred

Early-stage experience (founder or early engineer) and AI research experience preferred
Looking for ambitious individuals with high pedigree

Benefits

Competitive salary
Equity
Visa Sponsorship

Company

Serable

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Funding

Current Stage
Early Stage
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