AI Engineer – Industrial

IFF

AI Engineer developing practical AI, machine learning and optimization solutions at IFF. Collaborating with teams across technical and operational fields to deliver measurable value in industrial applications.

Posted 6/19/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop practical AI, machine learning and optimization solutions that help technical and operational teams make complex industrial data easier to understand, explore, and act on.
Apply frontier AI models, including large language models, foundation models, and multimodal approaches, to create reliable tools for search, analysis, knowledge discovery, and decision support.
Build AI-enabled applications that combine models, data pipelines, prompts, agents, evaluations, optimization logic, and user feedback into solutions that are useful, explainable, and maintainable.
Design and use knowledge graphs, ontologies, and structured domain knowledge to connect process data, experimental data, documents, terminology, assets, materials, and business context.
Work with domain experts to translate scientific, engineering, process control, and operational questions into data products, model workflows, optimization approaches, and user-friendly analytics experiences.
Develop robust pipelines for structured and unstructured data.
Contribute to model validation, monitoring, documentation, governance, and continuous improvement so that deployed solutions can be trusted in real industrial environments.
Collaborate across data science, engineering, digital technology, operations, and business teams to deliver solutions that create measurable value and are designed for adoption.

Requirements

What you’ll need

Master’s or PhD degree in Chemical Engineering, Biochemical Engineering, Bioinformatics, Process Control, Computer Science, Data Science or Applied Mathematics.
Demonstrated industrial experience with a proven track record of delivering measurable business impact and driving outcomes in production or operational environments.
Proven, hands-on experience with Python and modern machine learning workflows, including data preparation, modeling, validation, deployment, and monitoring.
Experience developing end-to-end AI or machine learning applications.
Practical understanding of frontier model capabilities and limitations.
Experience working with structured and unstructured data.
Knowledge of methods such as mathematical optimization, process control, forecasting, anomaly detection, recommendation systems, natural language interfaces, classification, deep learning, or predictive analytics.
Familiarity with software engineering practices such as version control, testing, application programming interfaces, containers, continuous integration and continuous delivery, and maintainable code design.
Ability to communicate clearly with both technical and non-technical audiences.

Benefits

Comp & perks

Medical
Dental
Vision
401k
Vacation
Holidays
Paid parental leave (maternity and paternity)
Annual bonus plan

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsmachine learningoptimizationPythondata preparationmodelingvalidationdeploymentmonitoringdeep learning

Soft Skills

communicationcollaborationproblem-solvingadaptabilityanalytical thinkinguser-friendly designinterpersonal skillstranslating technical conceptscontinuous improvementmeasurable impact

Certifications

Master’s degreePhD degree