AI Enablement Engineer

#paid Inc.

Job Overview

Location

Remote US/CA

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and deploy AI-driven systems that enhance creator-brand matching algorithms within #paid’s proprietary marketplace platform.
• Build and optimize machine learning models to predict creator-brand compatibility based on historical partnership data, content performance, and brand objectives.
• Collaborate with product and data teams to integrate AI models into production workflows that automate pricing recommendations, contract terms, and content usage rights enforcement.
• Engineer natural language processing (NLP) pipelines to analyze creator content, brand guidelines, and campaign briefs for semantic alignment and compliance.
• Implement real-time recommendation engines that surface the most relevant creators to brands based on audience demographics, engagement patterns, and historical success metrics.
• Maintain and scale AI infrastructure to support high-volume, low-latency inference across global creator and brand users.
• Monitor model performance, detect drift, and retrain models using updated datasets to ensure accuracy and fairness in matching outcomes.
• Work closely with legal and compliance teams to ensure AI systems adhere to content usage rights, data privacy regulations, and brand safety standards.
• Document model architecture, data pipelines, and decision logic for cross-functional teams including product, engineering, and customer success.
• Participate in iterative feedback loops with creators and brand partners to refine AI outputs based on real-world outcomes and user input.
• Contribute to the development of explainable AI features that provide transparency into why specific creator-brand pairings are recommended.
• Stay current with advancements in AI, machine learning, and creator economy trends to continuously improve system capabilities and competitive advantage.
• Support A/B testing frameworks to evaluate the impact of AI enhancements on key business metrics such as partnership conversion rates, campaign ROI, and creator satisfaction.
• Ensure all AI systems are auditable, ethical, and aligned with #paid’s commitment to trust and transparency in the creator economy.

🎯 Requirements

• Proficiency in Python and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience building and deploying production-grade recommendation or matching systems
• Strong understanding of NLP techniques for content analysis and semantic matching
• Proven track record of working with large-scale, real-time data pipelines
• Experience collaborating with product and legal teams on AI ethics and compliance
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

🏖️ Benefits

• Fully remote work environment with flexibility across US and Canada
• Competitive salary and equity compensation
• Comprehensive health, dental, and vision insurance
• Unlimited paid time off
• Professional development stipend for conferences, courses, and certifications
• Access to #paid’s creator network for personal brand growth opportunities

Skills & Technologies

Remote

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#paid Inc.

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About #paid Inc.

#paid Inc. operates a creator-marketing platform that connects brands with social media influencers for sponsored content campaigns. Its software automates discovery, contracting, content approvals, performance tracking and payments across Instagram, TikTok, YouTube and Facebook. The company serves consumer brands, agencies and e-commerce retailers in North America and Europe, handling campaign management, audience analytics and compliance disclosures. Founded in 2013 and headquartered in Toronto, it provides APIs and dashboards for marketers to set budgets, brief creators and measure ROI through engagement metrics.

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