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Artificial Intelligence Machine Learning Physics Jobs in Ohio

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Artificial Intelligence Machine Learning Physics information

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning physicist, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Physicist, you need a strong background in physics, advanced mathematics, computer science, and experience with machine learning algorithms, typically supported by a graduate degree in a related field. Proficiency in programming languages such as Python or C++, machine learning frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential, along with experience in scientific computing. Critical thinking, problem-solving, and strong communication skills help you interpret complex data, collaborate across disciplines, and convey research findings effectively. These combined skills are crucial for developing innovative AI models, driving scientific discovery, and advancing technology at the intersection of physics and machine learning.

What is artificial intelligence machine learning physics?

Artificial Intelligence Machine Learning Physics is an interdisciplinary field that applies AI and machine learning techniques to solve complex problems in physics. Experts in this area use algorithms to analyze large datasets, model physical phenomena, and accelerate scientific discoveries. The field combines knowledge of physics, computer science, and mathematics to design models that can predict, simulate, or interpret physical processes. Applications include materials science, quantum mechanics, astrophysics, and more, making it a rapidly growing area of research and industry.

What collaborative projects can professionals in artificial intelligence machine learning physics expect to work on?

Professionals in Artificial Intelligence Machine Learning Physics often work on interdisciplinary teams, partnering closely with data scientists, physicists, and software engineers. They may contribute to projects such as developing advanced simulation tools, optimizing experimental data analysis, or creating machine learning models to predict physical phenomena. Collaboration is key, as these roles frequently involve integrating AI algorithms with physical models and leveraging domain-specific knowledge from physics experts. This dynamic environment fosters continual learning and offers opportunities to lead innovative research or transition into specialized engineering and research leadership roles.

What is the difference between Artificial Intelligence Machine Learning Physics vs Data Scientist?

AspectArtificial Intelligence Machine Learning PhysicsData Scientist
Required credentialsDegree in Computer Science, Physics, or related fields; certifications in AI/MLDegree in Statistics, Mathematics, Computer Science; certifications in data analysis
Work environmentResearch labs, tech companies, academia focusing on AI/ML applications in physicsBusiness, finance, healthcare sectors analyzing large datasets
Industry usageDeveloping AI models for physics simulations, research, and technologyExtracting insights from data to inform business decisions

Artificial Intelligence Machine Learning Physics and Data Scientist roles share a focus on data analysis and technical skills. However, AI/ML Physics emphasizes developing algorithms within physics contexts, while Data Scientists focus on analyzing diverse datasets across industries. Both roles often require similar educational backgrounds and certifications, but their applications and work environments differ significantly.

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

Machine Learning Engineer (Materials)

Socket.dev

Dayton, OH • On-site

$90 - $135/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

About CFD Research

Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy & Materials industries. CFD Research has earned multiple national awards for successful application and commercialization of innovative component/system technology prototypes, multi-physics simulation software, multi-disciplinary analyses, and expert support services. Based in Huntsville, Alabama where laboratory facilities and headquarters are located, CFD Research also has office and laboratory facilities in Dayton, Ohio, prototyping test and evaluation facilities in Hollywood, Alabama, and office facilities in Fort Walton Beach, Florida. CFD Research is an ISO9001:AS9100D registered company and is appraised at CMMI Level II for Services.

CFD Research is a 100% ESOP (employee-owned company) recognized in Inc. Magazine's Inc5000 as a top growing company for four of the last five years. Learn more at www.cfd-research.com

Machine Learning Engineer (Materials) (Huntsville, AL - OR - Dayton, OH)

The engineer in this role will join a multidisciplinary R&D team focused on the development of machine learning algorithms focused on applications including, but not limited to, materials science, analytical chemistry, and microelectronics. We are looking for an engineer with core competencies in the areas of data-driven and quantitative modeling, as well as having the necessary science and engineering background to develop and deliver effective machine learning-based software solutions for our customers. This is a materials/chemistry focused role. The ideal candidate would have a background in both machine learning, and materials science and/or chemistry, physics, etc. The successful candidate will actively participate in all stages of the model life cycle, from ideation to deployment, for tasks that include, but are not limited to, exploratory data analysis, dataset preparation, model implementation, model training, model evaluation, model-based optimization, synthetic data generation, and first-principles modeling and simulation. They will collaborate with other engineers, subject matter experts, and program managers to achieve deployment of the algorithms to edge devices, desktop applications, and cloud services.

Basic Qualifications
  • A background in materials science, chemistry, physics, etc.
  • Strong programming skills in Python
  • Experience with machine learning frameworks such as PyTorch or TensorFlow/Keras
  • Familiarity with machine learning methods for classification, regression, clustering, dimensionality reduction, generative modeling, etc.
Other Qualifications (Preferred)
  • Experience in applying machine learning to computer vision, forecasting, and natural language processing is a plus
  • Experience with CUDA and/or OpenCL is a plus
  • Experience deploying machine learning models to production environments
  • Experience in a research and development environment
  • A history of peer-reviewed publications
Typical Degrees Hired Will Include
  • Chemistry, Chemical Engineering, Materials Science/ Engineering, Physics (Graduate and Undergraduate)
  • Data Science, Software Engineering (minors to accompany degrees listed above)
Requirements
  • Candidate must be a US Citizen and meet eligibility to work for any employer.
  • Be available to work in Huntsville, AL or Dayton, OH
Benefits
  • CFD Research offers competitive salaries and excellent employee benefits, including an employer matching 401(k) and Employee Stock Ownership Plan (ESOP).
  • CFD Research offers our Full-Time, permanent employee-owners a highly competitive insurance package, including medical, vision, and dental insurance.
  • Additionally, we offer company paid leave, compensation time, parental leave, long-term and short-term disability, accidental death and dismemberment, and life insurance.
  • Part-Time and Temporary employee-owners may receive partial or reduced benefits and leave time based on their employment status level.
  • Performance appraisals occur twice a year.
  • Annual pay increases are based upon corporate goals, personal development, performance, and outstanding achievements.
  • In addition, group and individual bonuses are awarded for exceptional performance.

CFD Research is an EO employer - Veterans/Disabled and other protected categories

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