ML Engineer

Company Overview

Imagine Everything. Build the Future with Hexion.

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

Your Future Starts Here.

If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.

Anything is possible when you imagine everything.

About the Role

We are looking for an ML Engineer to join our core R&D team, where we design and build advanced decision-support systems for industrial production lines. This role bridges the gap between theoretical research and real-world application: you'll implement and optimize algorithms that directly impact productivity, quality, and safety in our customers' factories.

You'll work closely with data scientists, domain experts, and infrastructure engineers to turn innovative ideas into scalable, production-ready solutions.

Key Responsibilities
Develop and implement algorithms for real-time decision-making and optimization.
Translate research prototypes and experiments into clean, maintainable, and testable production code.
Collaborate with data scientists to evaluate model performance, run experiments, and tune parameters.
Build and maintain modular, scalable components that integrate with our existing recommendation engine.
Work with product and data teams to understand user needs and data constraints.
Minimum Qualifications

B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
5+ years of hands-on experience developing algorithms or applied ML systems in production environments.
Strong coding skills in Python; experience with NumPy, Pandas, and software engineering best practices.
Solid understanding of data structures, optimization, and algorithm design.
Experience working with real-world noisy data, preferably from sensors or industrial systems.
Ability to read academic papers and translate them into practical implementations.
Strong communication skills and a collaborative mindset.
Preferred Qualifications

Experience with time-series data or control systems.
Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
Knowledge of data versioning and experiment tracking tools (e.g., MLflow, DVC).
Experience working with SCADA systems or in manufacturing environments.