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Machine Learning Engineer Apprenticeship Jobs in Ohio

CGI

Machine Learning Operations Engineer

Strongsville, OH · On-site

$62K - $139K/yr

Machine Learning Operations Engineer We are seeking an experienced MLOps Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational ...

Diverse Lynx

ML Engineering Delivery

Cincinnati, OH · On-site

Machine Learning Engineer Machine Learning Engineering Delivery Location: Blue Ash, OH Competencies: 10+ years experience required Agile Way of Working Digital: Machine Learning Digital: Artificial ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Akron, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cincinnati, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

As an AI Engineer, you will be responsible for designing, implementing, testing and maintaining ... The ideal candidate will have a strong background in AI, machine learning and data science, with ...

Eliassen Group

Senior AI/ML Engineer

Columbus, OH · Remote

$90 - $100/hr

Remote Our client seeks a Senior AI/ML Engineer to design and deliver cloud-native machine learning solutions on AWS. The role includes LLM orchestration, RAG pipelines, vector database integration ...

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Machine Learning Engineer Apprenticeship information

What is a Machine Learning Engineer Apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a Machine Learning Engineer Apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
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What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Ohio look for? The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Ohio are:
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Machine Learning Engineer Apprenticeship jobs near you
Senior Machine Learning Engineer, Neural Simulators

Senior Machine Learning Engineer, Neural Simulators

Path Robotics

Columbus, OH • On-site, Remote

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Build the Path Forward
At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.
Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.
Manufacturing demands exceptionally high performance, reliability, and adaptability. Processes like welding involve fast, complex, and poorly modeled physics that traditional simulators struggle to capture - especially in the long tail of real-world conditions.
We are building intelligent robotic systems that learn directly from data by combining neural world models with reinforcement learning. Our goal is to give robots the ability to learn, predict, and plan in complex manufacturing environments by replacing or augmenting classical physics simulators with fast, high-fidelity learned ones.
We are seeking a Senior Machine Learning Engineer to lead the development of a neural welding simulator - a learned world model that captures the visual and physical dynamics of welding and enables large-scale RL training. This role sits at the intersection of generative modeling, robotics, and applied physics. It is research-heavy by design, while still grounded in production reality.
This role can be located in our Columbus, Ohio Headquarters or Remote.
What You'll Do
  • Build a learned world model of the welding process that predicts future system behavior under robot actions.
  • Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements.
  • Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts.
  • Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.
  • Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation.
  • Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
  • Translate research prototypes into robust, maintainable production code when they prove valuable.
  • Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.
Who You Are
  • Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings.
  • Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction.
  • Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments.
  • Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth.
  • Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX.
  • You are excited by a role that blends research depth with practical impact, and you're willing to context-switch when the team needs it.
A Note on Background
We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data, reasoning about failure modes, and iterating toward accuracy under real-world constraints.
Why This Role
  • You'll help define the core learning infrastructure that underpins our robotic systems
  • You'll have space to pursue research tracks that run in parallel with production development.
  • You'll work on problems where success is measurable in the physical world - not just benchmarks.
  • You'll join a team that values depth, ownership, and adaptability over narrow specialization.

Why You'll Love Working Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!

Who We Are
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.

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