Top 16 Applied ai/ml engineer Jobs in Columbus

Applied ML Scientist - Active Learning
Hexion Inc. —Columbus, OH
- 18 years or older
- 7 years
- Computer Science
Applied AI Engineer, Founding Team
Accenture —Columbus, OH
- $68,300 - $218,800 a year
- Full-time
- Oracle
- Research
- Machine learning
- Paid holidays
- Disability insurance
AI Driven Automation Solutions Architect (Pharma)
PA Solutions —Lewis Center, OH
- Computer Science
- Engineering
- Mid-level
Senior AI Machine Learning Engineer
The Hartford —Columbus, OH
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Office
10d
Head of AI
AssetWatch, Inc. —Columbus, OH
- $244,000 - $282,000 a year
- Remote
- Computer Science
- AWS
- Doctor of Philosophy
- Flexible schedule
- Retirement plan
Quick Apply
Sr AI Machine Learning Engineer
The Hartford —Columbus, OH
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- 5 years
- DevOps
- System design
Technical Lead - Biological Systems Modeling Analytics
Battelle —Columbus, OH
- $128,800 - $183,600 a year
- Full-time
- Hybrid work
- Management
- Office
- 8 years
- Wellness program
- Health insurance
10d
Lead Software Engineer - SAP - BTP AI Developer
JPMorganChase —Columbus, OH
- $133,000 - $185,000 a year
- Full-time
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
13d
AI Driven Automation Solutions Architect (Pharma)
Orise —Lewis Center, OH
- Computer Science
- Engineering
- Senior level
Network Engineer, Reliability & Observability
FluidStack —London, OH
- $150,000 - $250,000 a year
- Email
- Office
- SQL
- Continuous improvement
- Dental insurance
- Paid time off
Machine Learning Engineer, Robot Learning, Loco-Manipulation
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health insurance
Quick Apply
Senior Machine Learning Engineer (Reinforcement Learning/World Model)
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Master's degree
- Paid parental leave
- Health insurance
Quick Apply
AI Engineering & Platform Leadership Senior Manager - Utilities
Accenture —Columbus, OH
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Paid holidays
- Disability insurance
Python Terraform AWS DevOps MLOps Lead Software Engineer
JPMorganChase —Columbus, OH
- Full-time
- Azure
- 5 years
- Senior level
- Health insurance
- Tuition reimbursement
Quality Analytics Site Lead
Anduril Industries —Ashville, OH
- $165,000 - $218,000 a year
- Email
- Computer Science
- SQL
- Travel
Quick Apply
3d

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Applied ML Scientist - Active Learning
Hexion Inc. —Columbus, OH
Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or…
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Translate complex problems into actionable product requirements, ensuring clarity for engineering, design, and cross-functional teams.
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Applied ML Scientist - Active Learning
Hexion Inc. —Columbus, OH
Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or…
Applied AI Engineer, Founding Team
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$68,300 - $218,800 a year

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Applied ML Scientist - Active Learning

Hexion Inc. -
Columbus, OH

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Job Details

Qualifications

AI models
Bayesian inference
Predictive modeling analysis
Software coding
AI platforms (beyond public GPTs)
Computational framework
Statistics research
Bachelor's degree
Collaboration with manufacturing teams
Machine learning libraries
Machine learning frameworks
Project stakeholder communication
Python
Stakeholder management

Full 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

Lead the design and execution of optimization and active-learning campaigns across chemistry, formulation, and process development.
Collaborate with R&D and manufacturing on framing optimization problems with design spaces, decision variables, objectives, and hard and soft constraints.
Design and coordinate sequential experiment campaigns using Bayesian optimization and active learning, accounting for operational variabilities and constraints.
Select and maintain surrogate models for acquisition, using model uncertainty to drive the search and respecting each model's domain of validity.
Drive closed-loop optimization that connects surrogate models to experimentation, with emphasis on decision quality, exploration versus exploitation, and actionable recommendations.
Partner with ML engineers, software engineers, and process engineers to deploy and monitor optimization systems.
Explore and adopt emerging ML methods, including LLM and agentic approaches, to advance optimization.
Communicate methods, results, and their limitations clearly to technical and non-technical audiences.
Minimum Qualifications

Bachelor's degree in Computer Science, Data Science, Statistics, Operations Research, or a related field, with substantial relevant experience in ML modeling or optimization experience for chemistry, formulation, process, or manufacturing problems.
7+ years experience.
Demonstrated expertise in Bayesian optimization and Gaussian processes, including kernels, acquisition functions, and batch, multi-objective, and constrained settings.
Experience designing and running experiment campaigns or closed-loop optimization.
Experience in applied statistics and uncertainty quantification, with emphasis on calibrated posteriors that drive acquisition.
Strong Python skills and experience with mainstream Python-based ML and Bayesian optimization 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, Statistics, Operations Research, or a related field.
Experience with active learning and physics-informed approaches for optimization in chemical synthesis, formulation, or process development.
Experience working with manufacturing, process, quality, or plant data, including issues such as batch-to-batch variability, raw-material variability, model drift, and changing operating conditions.
Familiar with ML engineering core tasks and techniques, such as data and optimization pipelines, model deployment, and MLOps.
Knowledge of chemistry ML core areas such as cheminformatics, molecular representation, predictive modeling, and chemistry foundation models.
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.

Apply Now

Refine Your Search

applied ai/ml engineer jobs in columbus

Applied ML Scientist - Active Learning

Applied AI Engineer, Founding Team

AI Driven Automation Solutions Architect (Pharma)

Senior AI Machine Learning Engineer

Head of AI

Sr AI Machine Learning Engineer

Technical Lead - Biological Systems Modeling Analytics

Lead Software Engineer - SAP - BTP AI Developer

AI Driven Automation Solutions Architect (Pharma)

Network Engineer, Reliability & Observability

Machine Learning Engineer, Robot Learning, Loco-Manipulation

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

AI Engineering & Platform Leadership Senior Manager - Utilities

Python Terraform AWS DevOps MLOps Lead Software Engineer

Quality Analytics Site Lead

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