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Machine Learning Biomedical Internship Jobs in Cleveland, OH

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

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 ...

Flexjet

Machine Learning Engineer

Cleveland, OH

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 ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

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 ...

PNC Bank

Technology Undergraduate Intern

Cleveland, OH

$18 - $35/hr

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

Yulista

Technician Apprentice Internship

Cleveland, OH · On-site

$16.50 - $21.25/hr

... machining & metal fabrication, instrumentation, and welding) in a research environment. These ... learning about the field, and developing technical skills that relate to the overall testing ...

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Machine Learning Biomedical Internship information

See Cleveland, OH salary details

$24.7K

$41.3K

$85.3K

How much do machine learning biomedical internship jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning biomedical internship in Cleveland, OH is $41,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What are popular job titles related to Machine Learning Biomedical Internship jobs in Cleveland, OH? For Machine Learning Biomedical Internship jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Cleveland, OH look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Machine Learning Biomedical Internship jobs? Cities near Cleveland, OH with the most Machine Learning Biomedical Internship job openings:
Machine Learning Biomedical Internship jobs near you

Machine Learning Engineer

Flexjet

Cleveland, OH • On-site

Full-time

Re-posted 5 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 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

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