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Machine Learning Developer Intern Jobs in Ohio (NOW HIRING)

$100 - $125/hr

## Machine Learning Engineer (m/w/d) - MLOps & Software EngineeringBewerbenremote type: ITlocations ... Du baust und pflegst CI/CD-Pipelines in Azure DevOps - inklusive automatisierter Tests und ...

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Machine Learning Developer Intern information

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities in Ohio are hiring for Machine Learning Developer Intern jobs?

Cities in Ohio with the most Machine Learning Developer Intern job openings:

Machine Learning Engineer

Beavercreek, OH โ€ข On-site, Remote

Etegent Technologies, LTD
Scientific Research and Development Servicesย โ€ขย 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Description

About the Company:


Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.ย 


Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.ย 


The Position:


Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.


We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.ย 


This position is based in Beavercreek, OH with the expectation of being in Etegent's office or at a customer facility 5 days a week.ย ย 


The Candidate:


More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.ย 


Job Responsibilities:

  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports.ย 
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications.ย 
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.


Requirements

Required Qualifications:

  • 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.
  • Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, Git, and Linux.
  • Ability to acquire and maintain up to a TS security clearance.

Additional Qualifications for Senior-Level Candidates:

Senior-level candidates should also demonstrate:

  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts.ย 
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:

  • Active TS security clearance.
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.ย 
  • Experience creating python-based user interfaces for data visualization.
  • Experience developing scalable, modular software tools.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.

Attributes:

  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks.ย 
  • Effective communicator who can collaborate with teammates and customers to solve problems.ย ย 
  • Able to take personal ownership and responsibility over their work.ย 

Working at Etegent:


At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!ย 

Competitive compensation based on qualifications and experience of candidate.

Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.