Data Engineer / ML Ops

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Data Engineer / ML Ops


VC-backed Multimodal AI Startup


United State


3-5 years


1 day ago


$25.3K–38.6K/yr


Full-time


Remote


Skills Required
LLM


Multimodal Data


Python


SQL


Data Engineering


MLOps


Description
VC-backed multimodal AI startup is hiring a Data Engineer / ML Ops to build the data foundation for real-time video and audio AI models. This is a fully remote, foundational role with direct founder collaboration.


Company:
VC-backed multimodal AI startup


Role:
Data Engineer / ML Ops


Location:
Fully remote


Experience

• Expert proficiency in Python
• Expert proficiency in SQL
• Experience building large-scale data processing systems in a production environment
• Proven experience working with LLMs
• Experience managing complex multimodal data challenges like video and audio
• Startup builder mentality
• Extreme ownership
• Ability to define standards in new problem spaces

Responsibilities

• Own the end-to-end data strategy for multimodal datasets
• Architect the data foundation for authentic, real-time AI humans
• Source, curate, and structure large-scale multimodal datasets for proprietary model training
• Build massive pipelines for video, audio, and text data
• Power proprietary models at the frontier of AI research
• Work directly with founders on complex infrastructure problems

Additional Responsibilities

• Architect and optimize high-performance data pipelines
• Build automated labeling workflows to scale ML production
• Define engineering best practices
• Proactively build the data foundation for next-generation conversational AI
• Act as the first dedicated data hire

More Skills
large-scale data processing systems, production environments, video, audio, text, data pipelines, automated labeling workflows, ML production, engineering best practices, conversational AI


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