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Physics Based Machine Learning Jobs in Columbus, OH

Indeed

Machine Learning Engineer III

Columbus, OH

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... Actual compensation will be determined based on job-related skills, experience, and expertise, as ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Beyond your technical skills, you will be asked to lead ML-based initiatives that are leveraged ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to ...

Indeed

Senior Machine Learning Engineer

Columbus, OH

$97K - $134K/yr

Prior success in deploying impactful Machine Learning and/or LLM-based solutions to large-scale production systems * Solid knowledge of data structures and algorithms * Demonstrated sense of ...

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How much do physics based machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for physics based machine learning in Columbus, OH is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $12.07 and $24.62 per hour, depending on experience, location, and employer.

What types of projects or problems does a Physics Based Machine Learning professional typically work on?

Physics Based Machine Learning professionals often work on projects that involve applying machine learning techniques to physical systems, such as improving simulations in engineering, optimizing energy systems, or accelerating scientific research through data-driven modeling. Daily tasks might include developing algorithms that incorporate physical laws, analyzing simulation data, and collaborating with experts from engineering, data science, or research teams. The role can involve both theoretical and hands-on work, often requiring iterative testing and validation. This environment provides opportunities to tackle cutting-edge challenges, contribute to innovation, and potentially lead to career paths in research, product development, or advanced analytics.

What is a Physics Based Machine Learning job?

A Physics Based Machine Learning job involves developing machine learning models that incorporate physical laws and domain knowledge to improve predictions and interpretability. Professionals in this field work at the intersection of physics, data science, and artificial intelligence to create models that are more robust, generalizable, and efficient, especially in scientific and engineering applications. Responsibilities often include data analysis, algorithm development, numerical simulations, and integrating physics-based constraints into ML models. These roles are common in industries like climate science, robotics, materials science, and computational physics.

What are the key skills and qualifications needed to thrive in the Physics Based Machine Learning position, and why are they important?

To thrive in Physics Based Machine Learning, you need advanced knowledge of physics, strong programming skills (Python, MATLAB, or C++), and a deep understanding of machine learning and statistical modeling, typically supported by a master's or PhD in physics, engineering, or a related field. Familiarity with simulation software, scientific computing libraries (such as TensorFlow, PyTorch, NumPy), and version control systems is essential. Strong problem-solving ability, effective communication, and cross-disciplinary collaboration skills set outstanding candidates apart. These competencies are crucial for designing robust, real-world models that integrate physical principles with data-driven techniques to solve complex problems.

What are popular job titles related to Physics Based Machine Learning jobs in Columbus, OH? For Physics Based Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Physics Based Machine Learning jobs in Columbus, OH look for? The top searched job categories for Physics Based Machine Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Physics Based Machine Learning jobs? Cities near Columbus, OH with the most Physics Based Machine Learning job openings:
Physics Based Machine Learning jobs near you
AI Machine Learning Principal Engineer

AI Machine Learning Principal Engineer

American Honda Motor

Raymond, OH

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

American Honda Motor rating

7.3

Company rating: 7.3 out of 10

Based on 438 frontline employees who took The Breakroom Quiz

22nd of 44 rated automakers

Job description

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint."
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda's, we want you to join our team to Bring the Future!
Job Purpose
Lead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins-owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams.
Key Accountabilities
  • Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases.
  • Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE.
  • Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance.
  • Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
  • Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability).
  • Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows.
  • Support ETL activities related to ADC data (CAE) structure.
  • Establish design standards, code quality, and documentation to support reuse and auditability.
  • Mentor and technically guide mid-level and junior engineers.
Qualifications, Experience, and Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.
Other Job-Specific Skills
  • Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)
  • Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts
  • Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Strong foundation in statistics, optimization, and numerical methods
  • Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)
  • Experience with LangGraph / LangChain & Strands SDK.
  • Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)
  • Knowledge of model governance, compliance, and responsible AI frameworks
  • CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred).
  • Prior knowledge of automotive or related design engineering work is a plus.
Job Dimensions
Decisions Expected
Working Conditions
  • Work is primarily conducted at an office desk; hybrid (office/home) work may be available.
  • Occasional travel and overtime may be required based on project milestones.
  • Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders.
What differentiates Honda and makes us an employer of choice?
Total Rewards:
  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Regional Bonus (when applicable)
  • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)
Career Growth:
  • Advancement Opportunities
  • Career Mobility
  • Education Reimbursement for Continued learning
  • Training and Development Programs
Additional Offerings:
  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Tuition Assistance & Student Loan Repayment
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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