AI/ML Engineer, Optimization

Job not on LinkedIn

🔥 1 hour ago

🌐 Pakistan, Philippines, +3 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 22%

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Huzzle.com

51 - 200 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

💰 $1.8M Pre Seed Round - Huzzle on 2024-04

Recruitment • HR Tech • SaaS

Huzzle. com is an AI-native hiring platform that connects companies with pre-vetted, remote talent—especially sales and go-to-market roles—through a streamlined sourcing, interviewing, hiring, and payroll workflow. The platform uses AI-driven candidate search and automated interviews (with expert review) to surface high-quality candidates quickly, then handles contracts, onboarding, and cross-border payroll and compliance so employers can hire globally in days. It also offers a candidate-facing experience that matches applicants to remote roles after a single 20-minute interview and provides a curated talent marketplace.

📋 Description

• Architect and refine optimization algorithms that drive autonomous marketing decisions • Analyze experiment performance and A/B test results to iterate on system logic • Evaluate and integrate cutting-edge AI models to enhance creative generation and predictive capabilities • Develop and improve multi-touch attribution models to ensure accurate revenue reporting • Scale the platform to support new advertising channels and complex customer journeys • Optimize system performance and reduce inference costs without sacrificing output quality • Incorporate customer feedback and behavioral data to improve the platform’s autonomous reasoning • Monitor and improve the overall reliability and speed of the optimization loops

🎯 Requirements

• Develop and refine autonomous optimization algorithms that manage ads, websites, and email marketing sequences • Analyze experiment performance and A/B test results to drive continuous system improvement • Evaluate and integrate the latest AI models and creative generation tools to maintain a competitive edge • Improve multi-touch attribution models and autonomous decision-making logic • Expand the platform’s reach by introducing and optimizing new advertising channels • Focus on system performance by reducing inference costs and latency • Incorporate direct customer feedback into the development of new optimization methodologies • Monitor long-term system health to ensure the platform remains a robust, continuously improving engine • Experience in the SaaS or AdTech industries • Advanced proficiency in A/B testing frameworks and experimental design • Familiarity with Slack for team communication and workflow integration • Strong English communication skills

🏖️ Benefits

• Competitive base salary • Fully remote work environment (Offshore) • Opportunity to build a category-defining autonomous platform • Long-term stability as an integral, ongoing teammate • Flexible working hours with consistent core overlap • Work with the latest AI/ML models and technologies

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