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New Grad Machine Learning Jobs in Ohio (NOW HIRING)

Machine Learning Tutor

Cleveland, OH ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Cincinnati, OH ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Columbus, OH ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Akron, OH ยท Remote

$18 - $40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

$40/hr

Participate in discovery, requirements gathering, and prototyping of new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the ...

New

$40/hr

Participate in discovery, requirements gathering, and prototyping of new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the ...

New

$40/hr

Participate in discovery, requirements gathering, and prototyping of new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the ...

New

$40/hr

Participate in discovery, requirements gathering, and prototyping of new tools and libraries * Implement tooling and features to support machine learning model development and deployment under the ...

New

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the ... Take initiative to learn about new technologies and methodologies, sharing insights and fostering a ...

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New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What cities in Ohio are hiring for New Grad Machine Learning jobs?

Cities in Ohio with the most New Grad Machine Learning job openings:

Infographic showing various New Grad Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Machine Learning Engineer

Etegent Technologies

Beavercreek, OH โ€ข On-site

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Machine Learning Engineer


Accepting candidates LOCAL or wanting to relocate to Beavercreek, OH only


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 customersโ€™ most significant challenges and opportunities.

Most important to us are our culture and values. Etegentโ€™s culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.


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.


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


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.


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.
  • 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.
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.


Required Qualifications:

  • Bachelorโ€™s Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, Tensorflow, or similar).
  • Experience developing software tools capable of deriving value from large, diverse datasets.
  • Background in data science, statistics, and/or computer vision.
  • Experience creating python-based user interfaces for data visualization.
  • Experience with Python, Git, and Linux.
  • An active TS security clearance.


Preferred Qualifications:

  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
  • Experience creating user interfaces with Dash, Streamlit, or other similar frameworks.
  • 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.
  • Effective communicator who can collaborate with teammates and customers to solve problems.
  • Able to take personal ownership and responsibility over their work.


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!


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.