Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
Machine Learning Engineer
Beavercreek, OH · On-site
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
Machine Learning Engineer
Beavercreek, OH · On-site
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
Machine Learning Engineer
Beavercreek, OH · On-site
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
Machine Learning Engineer
Beavercreek, OH · On-site
... Reduction, Neural Networks & Deep Learning, Feature Engineering Required Skills & Qualifications: * Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Columbus, OH · On-site
$122K - $161K/yr
Explores and evaluates advanced modeling techniques, such as transformers and graph neural networks ... informed decision-making. * Stays current with industry trends and emerging technologies in AI/ML ...
Senior Product Associate -Trust & Security Authentication Platforms and Modeling
Columbus, OH · On-site
$122K - $161K/yr
Explores and evaluates advanced modeling techniques, such as transformers and graph neural networks ... informed decision-making. * Stays current with industry trends and emerging technologies in AI/ML ...
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Columbus, OH · On-site +1
Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar. * A defensible view on visual-reasoning-centric ...
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Columbus, OH · On-site +1
Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics, process-model-conditioned generation, or similar. * A defensible view on visual-reasoning-centric ...
Microelectronics Security Data Scientist
$130K - $215K/yr
... Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction ... mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a ...
Posted today
Microelectronics Security Data Scientist
$130K - $215K/yr
... Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction ... mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a ...
Posted today
... Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction ... mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a ...
New
... Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction ... mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a ...
New
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
Toledo, OH · On-site
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
Toledo, OH · On-site
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
Cincinnati, OH · On-site
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
Cincinnati, OH · On-site
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
AI Engineer
$50K - $112K/yr
... informed decision-making and driving business growth. Within our Internal Firm Services practice ... neural networks and deep learning methods for advanced AI applications - Managing data quality and ...
Physics Informed Neural Networks information
What is a Physics Informed Neural Networks job?
A Physics Informed Neural Networks (PINNs) job typically involves developing and applying neural networks that incorporate physical laws as constraints to solve complex scientific and engineering problems. Professionals in this field work on integrating differential equations into deep learning models to improve predictions and reduce the need for large training datasets. These roles are common in fields like fluid dynamics, material science, and climate modeling, where traditional computational methods can be expensive. Individuals in this role often have expertise in machine learning, numerical methods, and domain-specific physics.
What are the key skills and qualifications needed to thrive in the Physics Informed Neural Networks position, and why are they important?
To thrive in Physics Informed Neural Networks (PINNs), you need a strong background in physics, mathematics, and deep learning frameworks, typically evidenced by advanced degrees in physics, applied mathematics, computer science, or engineering. Experience with programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch, as well as experience in numerical simulation tools, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in multidisciplinary teams. These qualifications and soft skills are essential for developing accurate, interpretable models that integrate scientific knowledge with machine learning to solve complex real-world problems.
What are the typical daily tasks involved in a Physics Informed Neural Networks position?
In a Physics Informed Neural Networks role, your daily tasks will often include designing, building, and testing neural network architectures that incorporate physical laws and constraints. You will frequently collaborate with domain experts, such as physicists or engineers, to integrate scientific knowledge into machine learning models and validate the results with real-world data. Regular responsibilities also involve coding, running experiments, analyzing results, and documenting findings for presentation or publication. This collaborative and research-driven environment helps ensure that models are both accurate and physically consistent, and offers opportunities for interdisciplinary learning and skill advancement.
What are popular job titles related to Physics Informed Neural Networks jobs in Ohio? For Physics Informed Neural Networks jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Physics Informed Neural Networks jobs in Ohio look for? The top searched job categories for Physics Informed Neural Networks jobs in Ohio are:
What cities in Ohio are hiring for Physics Informed Neural Networks jobs? Cities in Ohio with the most Physics Informed Neural Networks job openings:
Hexion rating
7.0
Based on 6 frontline employees who took The Breakroom Quiz
75th of 100 rated chemical manufacturers
Job description
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.
Job Responsibilities
Minimum Qualifications
Preferred Qualifications
Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
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.
Job Responsibilities
- Lead ML model development for prediction and optimization across chemistry, formulation, property, and process.
- Collaborate with R&D and manufacturing on problem framing and translate business goals into well-posed multi-objective optimization modeling tasks.
- Curate and analyze chemical and experimental data, assessing quality and structure and the limits it places on modeling.
- Develop and select input representations for raw materials, chemistry, and signal data, such as molecular descriptors and fingerprints, learned embeddings, and spectral features.
- Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.
- Quantify and calibrate model performance and uncertainty, and define each model's domain of validity for downstream use.
- Apply transfer learning to make use of multiple data sources, such as related tasks, prior campaigns, and data of varying fidelity and completeness.
- Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance modeling.
- Communicate methods, results, and their limitations clearly to technical and non-technical audiences.
Minimum Qualifications
- Bachelor's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field, with substantial relevant experience in ML modeling experience for chemistry, formulation, process, or manufacturing problems.
- Domain knowledge in chemistry, preferably polymer chemistry.
- Demonstrated ability to develop molecular and materials representations and to select, train, and evaluate predictive models across families.
- Experience in applied statistics and uncertainty quantification, including model calibration and domain of validity.
- Strong Python skills and experience with mainstream Python-based ML frameworks and tools.
- Active use of AI-assisted coding and other AI tools in daily work, with familiarity with emerging ML methods including LLM and agentic approaches.
- Strong communication, collaboration, and stakeholder management skills for working with R&D, manufacturing, and business teams.
Preferred Qualifications
- Master's degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field.
- 5+ years experience.
- Experience with cheminformatics, chemistry foundation models and physics-informed modeling.
- Familiarity with active learning, Bayesian optimization, and related techniques.
- Knowledge of ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.
About Hexion
Sourced by ZipRecruiter
Industry
Chemical manufacturing
Company size
10,000+ Employees
Headquarters location
Columbus, OH, US
Year founded
1899