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Full Time Machine Learning Research Scientist Jobs in Ohio

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

Position Overview The pMDI Research Scientist leads high-impact laboratory research that advances ... Integrate artificial intelligence, machine learning, and advanced analytics with laboratory ...

Hexion, Inc.

pMDI Research Scientist

Columbus, OH · On-site

Position Overview The pMDI Research Scientist leads high-impact laboratory research that advances ... Integrate artificial intelligence, machine learning, and advanced analytics with laboratory ...

Hexion Careers

pMDI Research Scientist

Columbus, OH · On-site

Position Overview The pMDI Research Scientist leads high-impact laboratory research that advances ... Integrate artificial intelligence, machine learning, and advanced analytics with laboratory ...

Heidelberg University

Research Scientist

Tiffin, OH · On-site

Personal learning - seeks feedback and counsel to improve managerial behavior. * Peer relationships ... machine, copier, telephone, scanner, and printers. Employees in this position must have a valid ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their ...

Flexjet

Machine Learning Engineer

Cleveland, OH

In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their ...

Flexjet

Machine Learning Engineer

Cleveland, OH

In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

In this role, you will embrace the role of "full-stack" data scientist, which will often require ... Research, design, develop, and maintain state-of-the-art machine learning models optimized for ...

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Full Time Machine Learning Research Scientist information

What is the difference between Full Time Machine Learning Research Scientist vs Data Scientist?

AspectFull Time Machine Learning Research ScientistData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; some research experience
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, analytics teams, product development
Employer & Industry UsageTech companies, research institutions, AI startupsTech firms, finance, healthcare, e-commerce
Search & Comparison IntentFocus on research, algorithms, and innovationFocus on data analysis, insights, and application

While both roles involve working with data and algorithms, a Full Time Machine Learning Research Scientist primarily focuses on developing new models and advancing ML research, often in academic or research settings. In contrast, a Data Scientist applies existing models to solve business problems, analyze data, and generate insights within industry environments.

What cities in Ohio are hiring for Full Time Machine Learning Research Scientist jobs?

Cities in Ohio with the most Full Time Machine Learning Research Scientist job openings:

Full Time Machine Learning Research Scientist jobs near you

Materials Informatics Research Scientist

Riverside Research

Dayton, OH

$130K - $220K/yr

Full-time

Re-posted 16 days ago

Job description

Riverside Overview

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

Riverside Research is seeking a highly skilled and innovative Materials Informatics Research Scientist to join our advanced materials team. The successful candidate will utilize high-performance computing (HPC) and data-driven approaches to accelerate the discovery, design, and optimization of advanced composite materials. Research, develop, test, prototype, demonstrate and transition HPC and data-driven technologies that support the performance prediction of advanced composites materials in aerospace. This role involves working closely with interdisciplinary teams to apply computational methods and data analytics to solve complex material science problems.

Responsibilities

  • Lead the technical direction with government and team, and mentor junior/mid-level staff.
  • Develop and implement high-performance computing models and simulations to study the behavior and performance of advanced composite materials.
  • Utilize data-driven techniques, including machine learning and artificial intelligence to analyze large datasets and extract meaningful insights for material design.
  • Collaborate with material scientists, engineers, and data scientists to integrate computational and experimental data for comprehensive material understanding.
  • Perform multi-scale modeling and simulation to link microstructural features with macroscopic properties.
  • Design and execute computational experiments to predict material properties and guide the development of new composite materials.
  • Analyze simulation and experimental data to validate model and improve their predicative accuracy.
  • Prepare technical reports, presentations, and publications to communicate research findings.

Qualifications

Required Qualifications:

  • Bachelor’s degree in materials science, computational science, electrical engineering, or a related field with a focus on high-performance computing and data-driven research with 8 years of experience or 6 years with MS or 3 years with PhD.
  • Must be eligible to obtain a Top Secret security clearance.
  • 5+ years of experience in computational modeling and simulation of composite materials.
  • Proven experience leading a technical project and team.
  • Strong knowledge of high-performance computing platforms and software, such as MPI, OpenMP. CUDA, and related tools.
  • Proficiency in data analytics, machine learning, and artificial intelligence techniques.
  • Experience with multi-scale modeling and integration of different simulation methods.
  • Excellent analytical and problem-solving skills with the ability to interpret complex data.
  • Experience in collaborative research environment, working effectively with cross-functional teams.

Desired Qualifications:

  • Experience in the aerospace, automotive, or renewable energy industries.
  • Familiarity with materials characterization techniques and their integration with computational models.
  • Experience with grant writing and securing funding for research projects.
  • Capability to develop projects using a mixture of python, MATLAB, C, and data processing languages.

Global Comp

$130,000 - $220,000 This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees. Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran’s status or any other status legally protected by applicable federal, state, and local law.

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