Machine Learning Engineer
AIXFF TECH INC.About Us
AIXFF is revolutionizing the fragrance industry by developing 100% natural, sustainable fragrances through cutting-edge artificial intelligence. Our AI Natural Fragrance Cloud Platform combines machine learning with green chemistry to create high-performance scents while protecting the environment.
Traditional synthetic fragrance production relies on petrochemicals and generates harmful byproducts. Our natural approach eliminates these pollutants, and our AI platform further reduces environmental impact by minimizing resource waste in R&D.
The Role
We're hiring a Machine Learning Engineer to build our AI-powered platform that will:
* Accelerate the discovery of sustainable natural fragrance formulations
* Uphold our commitment to 100% cruelty-free development by eliminating the need for animal testing alternatives
* Optimize the use of ethically sourced botanicals while ensuring supply chain transparency
Responsibilities
* Develop ML models to predict fragrance properties from natural ingredient combinations
* Build recommendation systems for sustainable fragrance formulations
* Process and analyze data from GC-MS, sensory evaluations, and chemical databases
* Collaborate with perfumers to integrate domain knowledge
* Optimize algorithms for energy-efficient cloud deployment
Qualifications
* Degree in Computer Science, Machine Learning, or related STEM field
* Strong Python skills and experience with TensorFlow/PyTorch
* Experience with cloud platforms (AWS/GCP/Azure)
* Knowledge of cheminformatics or computational chemistry is a plus
* Passion for sustainability and environmental applications of AI
* Experience working with biological or natural product datasets is preferred
* With legal authorization to work in Canada