AI / Machine Learning Engineer

We are a marketing agency building a SaaS platform that leverages AI to improve paid media performance. Our goal is to help teams make smarter, faster decisions using data-driven insights and automation.

We’re seeking an AI / Machine Learning Engineer to design and build systems that analyze campaign performance and generate actionable recommendations for optimization. This role focuses on the intelligence layer behind decision-making—not simple chatbots.

Responsibilities

• Integrate with advertising platforms (Meta Ads, Google Ads, TikTok Ads)
• Analyze campaign performance metrics (CPA, ROAS, CTR, conversions)
• Build models or rule-based systems to:
  • Identify underperforming campaigns
  • Recommend budget reallocation
  • Suggest scaling opportunities
• Surface insights via dashboards, APIs, or internal tools
• Collaborate with product and marketing teams to define optimization logic

Requirements

• Experience in machine learning, data science, or applied AI
• Strong Python skills (pandas, scikit-learn, or similar)
• Experience analyzing marketing or ad performance data
• Understanding of key marketing metrics (ROAS, CAC, LTV, etc.)
• Ability to convert messy data into actionable insights

Nice to Have

• Familiarity with marketing APIs (Meta, Google Ads, TikTok)
• Experience with data pipelines and cloud platforms (AWS, GCP)
• Prior work on internal tools or SaaS products