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Internship Applied Scientist Machine Learning Jobs in Ohio

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Internship, academic project, or personal project experience in machine learning * Familiarity with ...

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

Machine Learning Engineer

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired * A mathematical background (Probability and Statistics) * An experienced grasp ...

Machine Learning Engineer

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired * A mathematical background (Probability and Statistics) * An experienced grasp ...

Machine Learning Engineer

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired * A mathematical background (Probability and Statistics) * An experienced grasp ...

Machine Learning Engineer

Beavercreek, OH · On-site

$52 - $68.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics. * Previous experience signal processing, computer vision, or machine learning experience.

Machine Learning Engineer

Beavercreek, OH · On-site

$51.75 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics. * Previous experience signal processing, computer vision, or machine learning experience.

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

... Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience ... Proficient in programming languages such as Python and familiar with data science/machine learning ...

... Applied Mathematics, Statistics, Physics, Analytics, etc.) or possess equivalent work experience ... Proficient in programming languages such as Python and familiar with data science/machine learning ...

On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to ... Adopt and promote MLOps best practices to the Data Science community. Minimum Requirements * Must ...

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Internship Applied Scientist Machine Learning information

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the most commonly searched types of Applied Scientist Machine Learning jobs in Ohio?

The most popular types of Applied Scientist Machine Learning jobs in Ohio are:

What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Ohio?

For Internship Applied Scientist Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Internship Applied Scientist Machine Learning jobs in Ohio look for?

The top searched job categories for Internship Applied Scientist Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Internship Applied Scientist Machine Learning jobs?

Cities in Ohio with the most Internship Applied Scientist Machine Learning job openings:

Machine Learning Engineer

Flexjet

Cleveland, OH • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 66 rated aviation services


Job description

POSITION SUMMARY

Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. 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 career who is eager to develop hands-on experience with real-world ML systems.

DUTIES & RESPONSIBILITIES

  • Assist in developing and training machine learning models
  • Support the creation and maintenance of data pipelines
  • Help deploy ML models into production under guidance
  • Clean, preprocess, and analyze datasets for model training
  • Collaborate with team members to solve business problems using data
  • Monitor model performance and help troubleshoot issues
  • Document code, processes, and model behavior

REQUIRED SKILLS & QUALIFICATIONS

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
  • Basic proficiency in Python
  • Familiarity with machine learning concepts (regression, classification, clustering)
  • Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
  • Understanding of data structures and algorithms fundamentals
  • Basic knowledge of SQL and data handling

PREFERRED QUALIFICATIONS

  • Internship, academic project, or personal project experience in machine learning
  • Familiarity with Git and version control
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud)
  • Basic understanding of APIs or web services
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn)
  • Strong willingness to learn and grow
  • Problem-solving mindset
  • Good communication and teamwork skills
  • Attention to detail

What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

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