Scientist Machine Learning for Ingredient Discovery

DSM
United States
Workplace: OnsiteFull timeUSD 100,000 - 140,000 annuallyFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: phdSkills: ["Problem-solving","Collaboration","Independent work","Communication","Entrepreneurial innovation"]

Develop machine learning models—including LLMs and agentic workflows—for an ingredient discovery engine that supports small-molecule design and pipeline prioritization. Join the Ingredient Modeling team within R&D Data Science, working with data scientists, chemists, biologists, and perfumers to integrate AI with computational chemistry and receptor biology. Build and optimize models using Python and modern neural architectures, and deploy workflows on Azure and AWS to drive fragrance, taste, and health segment value.

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FursaFursa
DSM
DSM
1 month ago

Scientist Machine Learning for Ingredient Discovery

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Develop machine learning models—including LLMs and agentic workflows—for an ingredient discovery engine that supports small-molecule design and pipeline prioritization. Join the Ingredient Modeling team within R&D Data Science, working with data scientists, chemists, biologists, and perfumers to integrate AI with computational chemistry and receptor biology. Build and optimize models using Python and modern neural architectures, and deploy workflows on Azure and AWS to drive fragrance, taste, and health segment value.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Use data science and AI to drive an ingredient discovery pipeline that creates value for taste, texture, and health segments.
  • •Develop and implement machine learning models to support the ingredient discovery process, including exploring chemical space.
  • •Build and optimize ML models using Python libraries and advanced neural architectures with multi-objective optimization.
  • •Deploy and manage ML workflows on Azure and AWS cloud infrastructure.
  • •Collaborate with data scientists, chemists, biologists, and perfumers to translate scientific requirements into scalable modeling tools.

Pay and Benefits

Salary: USD 100,000 - 140,000 annually
Perks:Health InsurancePaid Leave401k

Key Requirements

  • •Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence, or Quantitative Finance/Economics.
  • •2-5 years of additional academic or industrial experience in cheminformatics and computational chemistry, ideally for ingredient/drug discovery or sensory biology.
  • •Strong proficiency in Python and data science libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras).
  • •Strong proficiency in cheminformatics toolkits such as RDKit, with understanding of ML algorithms, multi-objective optimization, and (graph) neural networks.
  • •Experience with responsible AI coding agents, code management practices, and CI/CD pipelines; hands-on Azure or AWS experience is a plus.
Experience:2-5 yearsCheminformaticsComputational chemistryIngredient discoverySensory biology
Education:PhD / Doctorate in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence, or Quantitative Finance / Economics
Skills:Problem-solvingCollaborationIndependent workCommunicationEntrepreneurial innovation
Languages:English
Tech Stack:PythonNumPySciPyPandasMatplotlibScikit-LearnTensorFlowPyTorchKerasRDKitLLMsAgentic workflowsGitGraph neural networksMulti-objective optimizationAzureAWSCI/CDAPI endpointsCloud-native computing

Company Brief

DSM
DSM-Firmenich is a global leader in food ingredients, nutrition, fragrances and beauty solutions, formed by the merger of DSM and Firmenich to provide sustainable, science-driven products and services across food, health and personal care industries.
Industry: Chemical Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Geneva, Switzerland
Founded: 2023
WebsiteLinkedIn