Company Description
Atom11 is an advanced, award-winning platform for Amazon PPC automation and optimization. It integrates advertising data with retail signals such as inventory, pricing, PPC cannibalization, and competitor activities to deliver improved ad performance. Designed for agencies, large brands, and sellers, Atom11 provides tools to automate, optimize, and scale Amazon Ads with unified data and actionable insights. Atom11 empowers users to streamline campaigns and achieve measurable results.
Role Description
We are looking for an AI/ML Engineer with 1-2 years of experience to scale our predictive models and agentic AI capabilities. The ideal candidate will work on high-velocity data to optimize millions of dollars of Amazon Ads spend.
Key Responsibilities
- Build and deploy ML models that adjust bidding strategies based on inventory, Buy Box status, and competitor price shifts.
- Enhance our AI Copilot, Neo, using Generative AI and RAG frameworks to provide conversational, actionable insights.
- Graduate from rule based automation to agent based automation which mimics human behavior
- Develop forecasting models for keyword performance, seasonal trends, and budget optimization.
- Own the lifecycle of your models: from data cleaning and feature engineering to production deployment using Django and Docker.
Qualifications
- Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field.
- 1+ years of professional experience in AI/ML development and full-stack engineering (e.g., ReactJS, Python).
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
- Hands-on experience with PyTorch or TensorFlow.
- Proficient in SQL for extracting and transforming large-scale datasets.
- Familiarity with LLMs (OpenAI/Anthropic) and frameworks like LangChain or LlamaIndex.
- Ability to work with messy real-world data and turn it into stable production models.
- Hands-on experience with agentic AI frameworks and orchestration tools.
