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Foundation Models Jobs in Ohio (NOW HIRING)

Hexion

Applied ML Scientist - Chemistry

Columbus, OH · On-site

$80 - $120/hr

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

Citizens

Sr Data Scientist- Generative AI

Columbus, OH · On-site

Stay current with advances in Generative AI, agentic systems, multimodal AI, foundation models, and emerging industry best practices. Qualifications Required * Ph.D. or Master's degree in Computer ...

NEURA Robotics

$140 - $210/hr

Strong command of at least two of: vision‑based perception, manipulation & control, reinforcement / imitation learning, multimodal foundation models, or scalable MLOps. * Strong Python (C++ is a ...

Reply Group

$69.95 - $93.26/hr

Hands‑on Erfahrung mit RAG , Tool-/Function‑Calling, Vector Stores, Fine‑Tuning sowie APIs moderner Foundation Models (z. B. OpenAI, Anthropic oder Open‑Weight‑Modelle) * Erfahrung mit ...

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

... foundation models from providers such as OpenAI, Anthropic, and Meta. • Implement vector databases such as Pinecone, Weaviate, and FAISS. • Ensure adherence to responsible AI principles ...

Synapticon GmbH

$12.75 - $17/hr

Prototype multimodal foundation model integration for robot safety context -- exploring how large-scale models can give robots semantic awareness of their environment and the people in it * Develop ...

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Infographic showing various Foundation Models job openings in Ohio as of June 2026, with employment types broken down into 70% Full Time, 25% Part Time, and 5% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Applied ML Scientist - Chemistry

Hexion

Columbus, OH • On-site

$80 - $120/hr

Other

Re-posted 2 days ago

Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

74th of 100 rated chemical manufacturers

Job description

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.
Equal Opportunity Statement

We are an Equal Opportunity, Affymative 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.

Nearest Major Market: Columbus
Nearest Secondary Market: Dublin

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