CreatorIQ, Inc. logo

Staff Fullstack Engineer AI/ML

Job Overview

Location

San Francisco

Job Type

Full-time

Category

Data Science

Date Posted

June 13, 2026

Full Job Description

đź“‹ Description

  • • Architect and lead the development of AI-driven software solutions, including multi-modal social content processing systems and brand safety applications, to enable enterprise-level creator marketing.
  • • Design and implement scalable backend applications using Node.js and Python, ensuring high performance, reliability, and production-grade deployment of APIs and webhooks.
  • • Collaborate directly with lead data scientists and MLOps engineers to implement and federate large-scale vector embeddings networks and agentic tooling for AI services.
  • • Audit and optimize database architectures, design complex data pipelines, and integrate with DevOps/ETL methodologies to support data-intensive product features.
  • • Provide full-stack technical support to frontend teams building React interfaces with Joy UI or Material Design, ensuring seamless integration across the technology stack.
  • • Act as a strategic technical consultant across the organization, advising on cloud infrastructure best practices (AWS/GCP), database strategy, and infrastructure scaling to advance the Innovations roadmap.
  • • Own end-to-end delivery of experimental AI/ML pilots through production deployment, bridging the gap between research and scalable product features.
  • • Implement and maintain secure, compliant, and high-availability systems that integrate with Meta, Snapchat, TikTok, YouTube, and other major social platforms.
  • • Contribute to the evolution of CreatorIQ’s enterprise-grade ecosystem by applying rigorous engineering standards to creator marketing intelligence infrastructure.
  • • Participate in cross-functional planning sessions to align technical execution with business goals for global brands including LVMH, Google, NestlĂ©, and Sephora.
  • • Maintain awareness of emerging AI/ML trends and evaluate hosted inference platforms (e.g., Vertex AI, SageMaker) for integration into existing systems.
  • • Ensure all systems adhere to CreatorIQ’s compliance and security standards while supporting global operations across North America, Europe, and Asia.

🎯 Requirements

  • • Experience working with hosted inference providers (Vertex AI, SageMaker, etc.) and scaling large vector embeddings stores
  • • Deep proficiency in both Node.js and Python for building production-scaled APIs and webhooks
  • • Expertise in AWS (Aurora, RDS, S3) and GCP environments with ability to audit database architectures and navigate complex data pipelines
  • • Strong experience with React (Joy UI/Material) and TypeScript to support frontend integration
  • • Proven ability to act as a technical consultant on cloud infrastructure and database strategy
  • • Experience designing and implementing agentic workflows and AI-driven applications

🏖️ Benefits

  • • 15 days vacation, plus floating and set holidays
  • • Wellness allowance and paid parental leave
  • • Medical, dental, vision, life, and disability insurance
  • • 401(k) plan for U.S. employees
  • • Work-from-home stipend for home office setup or personal use
  • • Surprise meal stipends for remote workers

Skills & Technologies

Python
JavaScript
TypeScript
React
Node.js
Full Stack
Senior
Remote
Degree Required

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CreatorIQ, Inc. logo
CreatorIQ, Inc.
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About CreatorIQ, Inc.

CreatorIQ, Inc. provides enterprise influencer marketing software that centralizes discovery, campaign management, analytics and compliance for global brands and agencies. Its cloud platform ingests social data from major networks, applies machine-learning to vet creators and measure performance, and automates workflows, contracts and FTC disclosures at scale. Clients orchestrate collaborations across Instagram, TikTok, YouTube and other channels, benchmark ROI against competitors, and maintain brand safety standards. Serving Fortune 500 companies and media conglomerates, the company integrates with media-buying, CRM and BI systems to unify paid, owned and earned social programs within a single governance framework.

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