AI Engineer – Industrial

🔥 12 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $100k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

IFF

WebsiteLinkedInAll Job Openings

10,000+ employees

💄 Beauty

⚕️ Healthcare Insurance

Food & Beverage • Beauty • Healthcare Insurance

IFF is a global leader in the creation of flavors, fragrances, food ingredients, and health & biosciences. The company leverages cutting-edge science and creativity to develop sustainable solutions across various industries, enhancing food and beverage experiences, personal care products, and more. With a strong commitment to environmental and social governance, IFF focuses on innovation and responsible sourcing to improve lives and elevate everyday products.

📋 Description

• 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

• 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

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