Scientist Machine Learning for Ingredient Discovery - Princeton, NJ
Core
Develop and apply machine learning models, including LLMs and agents, for small molecule design and pipeline prioritization to transform ingredient discovery processes.
Role type
Senior Machine Learning Scientist (Ingredient Discovery)
Builds
Integrated discovery engine for fragrance, taste, and health segments
Domain
Cheminformatics, Computational Chemistry, Sensory Biology
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Keras, RDKit, multi-objective optimization, graph neural networks, cloud infrastructure (Azure/AWS), CI/CD pipelines
Preferred skills
Generative AI, agentic workflows, mixed preference optimization
Technologies
NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, Azure, AWS, Git
Responsibilities
Develop and implement ML models for new ingredient discovery; optimize workflows on cloud infrastructure; collaborate with chemists, biologists, and perfumers to translate scientific requirements into scalable tools; stay abreast of advancements in ML and cheminformatics.
Seniority
Senior, hands-on IC
