📍 On-site | 🌴 Malibu, Los Angeles Area

💰 $125K–$175K+ total compensation (base + performance bonus)

ClickMint is an AI-first performance lab reinventing how eCommerce brands grow. We combine proprietary generative-AI diagnostics with senior Conversion Rate Optimization (CRO) architects to pinpoint and eliminate friction in digital shopping experiences.

Our platform analyzes behavioral and performance data, benchmarks it against a vast ecosystem of eCommerce revenue models, and recommends experimentally validated strategies — then executes them end-to-end with in-house designers and engineers for rapid A/B and multivariate testing.

Founded by a team with a decade of success scaling category-leading digital brands, ClickMint is headquartered in Malibu, California, where we build technology that fuses creative intelligence with machine learning to deliver measurable growth.

We believe the future of growth is experimentation — not opinion.

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.

• 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