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

Other

• Well-funded, Series B backed startup
• Supported by leading venture firms
• Pioneering multimodal AI platform
• No established playbook at the intersection of video and AI
• High-impact infrastructure role

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

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