Role overview
This is a
full-time, on-site
position in
Malibu, CA
, ideal for a motivated engineer eager to apply machine learning in a commercial environment that moves fast and values autonomy.
As a
Junior AI & Machine Learning Engineer
, you’ll contribute directly to the development of ClickMint’s AI-driven experimentation engine — working on LLM orchestration, neural network modeling, behavioral clustering, and real-time pattern recognition across massive eCommerce datasets.
You’ll collaborate with our engineering, data science, and optimization teams to:
- Develop and deploy ML models that diagnose conversion friction in real time
- Build neural network architectures and decision-support systems for optimization recommendations
- Conduct large-scale statistical analyses and A/B inference testing
- Train, test, and refine models using TensorFlow, PyTorch, and modern MLOps frameworks
- Push production-grade AI models live to impact client results within days — not months
This is a hands-on engineering role where your work translates directly into measurable revenue outcomes for major eCommerce brands.
What we're looking for
- Strong understanding of Pattern Recognition , Neural Networks , and applied ML principles
- Solid foundation in Computer Science and algorithmic design
- Proficiency in Statistics and data analysis techniques
- Excellent problem-solving and analytical abilities
- Ability to work both independently and in fast-moving collaborative teams
- Bachelor’s degree in Computer Science , Electrical Engineering , Applied Math , or related field
- Familiarity with TensorFlow , PyTorch , or similar ML frameworks
- Experience in eCommerce , CRO , or consumer analytics is a plus
- Highly competitive Los Angeles compensation package
🚀 Fast-paced AI startup culture — your code impacts live brands within days
🤝 Mentorship from senior AI engineers and digital growth leaders
🌴 Office location: Malibu, California — ocean views included