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Scientific Machine Learning Jobs in Ohio (NOW HIRING)

Mimecast

Machine Learning Engineer II

Columbus, OH

$94.20K - $128.90K/yr

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/yr

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Machine Learning engineers at Mimecast are empowered to use AI development tools every day-to ...

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Scientific Machine Learning information

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Ohio? For Scientific Machine Learning jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Ohio look for? The top searched job categories for Scientific Machine Learning jobs in Ohio are:
What cities in Ohio are hiring for Scientific Machine Learning jobs? Cities in Ohio with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you

Senior Machine Learning Engineer (JR217954)

CCHMC Biomedical Research Technologies Masters Program

Cincinnati, OH • On-site

$102K - $140K/yr

Full-time

Posted 22 days ago

Job description

Job Summary:
CCHMC Biomedical Research Technologies Masters Program is seeking a Senior Machine Learning Engineer. The role involves applying advanced machine learning techniques to biomedical research projects, contributing to the development of innovative solutions in the healthcare domain.
Company:
We are a masters program that is training the next generation of scientist in cutting edge technology to enable innovation and breakthroughs in biomedical science. Founded in , the company is headquartered in Cincinnati, Ohio, US, , with a team of 10001+ employees. The company is currently Late Stage.

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