Machine Learning Engineer (Chemistry, Neuroscience, & AI)

About Us We are an early-stage AI startup developing machine learning models that predict how different populations perceive and respond to fragrances and scented consumer products. Our goal is to combine chemistry, human sensory data, and artificial intelligence to help consumer goods companies better understand consumer preferences, accelerate product development, and make more informed formulation decisions before extensive physical testing. We work at the intersection of machine learning, computational chemistry, human perception, and behavioral science, tackling problems that require both strong engineering and scientific reasoning. About the Project We are currently working on a fast-paced project for a global consumer products company and are looking for an experienced ML engineer to join us for an initial two-week engagement. The work will involve building research prototypes, developing data pipelines, integrating scientific and chemical datasets, and helping create models that predict how different populations may respond to fragrance-related products. This is a highly collaborative role where you’ll work closely with our technical team to rapidly explore ideas, iterate on models, and solve challenging scientific problems. About the Role This is not a narrowly defined engineering position. As an early-stage startup, we’re looking for someone who is comfortable wearing multiple hats and contributing wherever they’re most valuable. Depending on the project, you may be involved in data scraping and preprocessing, scientific data integration, model implementation, feature engineering, exploratory analysis, and building tools to support ongoing research. Strong Python skills are essential, and experience with machine learning is expected. Do not apply to this role if you have no knowledge on neuroscience or chemistry.