ZipRecruiter

Log In

1

Learning Developer Jobs in Ohio (NOW HIRING)

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

Machine Learning II Engineer - Incydr Product Development Mimecast is at the forefront of the cybersecurity industry, delivering innovative solutions to protect businesses and individuals from ...

Bespoke Labs

Machine Learning Engineer

Toledo, OH · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Columbus, OH

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

All JobsLearning Developer JobsLearning Developer Jobs in Ohio

Learning Developer information

See Ohio salary details

$10.5K

$79.8K

$133.1K

How much do learning developer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for learning developer in Ohio is $79,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $132,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Learning Developer, you need expertise in instructional design, adult learning theories, and curriculum development, often supported by a degree in education, instructional design, or a related field. Familiarity with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), Learning Management Systems (LMS), and sometimes relevant certifications (e.g., CPLP, APTD) is typically required. Strong project management, creativity, and communication skills help you design engaging and effective learning experiences for diverse audiences. These competencies ensure that training solutions are impactful, user-friendly, and aligned with organizational goals.

What is a learning developer?

Learning Developers are professionals who design, develop, and enhance educational materials and experiences, often using technology to support learning. They collaborate with subject matter experts to create engaging online courses, instructional resources, and training programs. Learning Developers use instructional design principles to ensure that learning objectives are met and that materials are accessible and effective for diverse learners. Their work is essential in educational institutions, corporate training, and e-learning industries.

How do I become a learning developer?

To become a learning developer, you typically need a bachelor's degree in education, instructional design, or a related field, along with experience in curriculum development and e-learning tools. Skills in instructional design, multimedia creation, and familiarity with learning management systems are important. Gaining certifications such as Certified Professional in Learning and Performance (CPLP) can also enhance job prospects.

How does a learning developer typically collaborate with subject matter experts to create effective training materials?

A Learning Developer works closely with subject matter experts (SMEs) to ensure that training content is accurate, engaging, and tailored to the audience's needs. This collaboration often involves conducting interviews, reviewing existing materials, and participating in feedback sessions to clarify complex concepts. Regular meetings and iterative content reviews are common, allowing the Learning Developer to translate expert knowledge into accessible and interactive learning experiences. Strong communication and project management skills are essential for managing timelines and aligning expectations between all stakeholders.

What is the difference between Learning Developer vs Instructional Designer?

AspectLearning DeveloperInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds degrees in education, instructional design, or related certifications
Work EnvironmentCreates digital learning content, e-learning modules, and multimedia resources, often in corporate or educational settingsDesigns curriculum, develops instructional materials, and plans learning strategies, mainly in educational or corporate sectors
Employer & Industry UsageUsed by corporations, e-learning companies, and educational institutions to develop online trainingEmployed by educational institutions, corporations, and consulting firms to design learning experiences

Learning Developers focus on creating and developing digital learning content and multimedia resources, while Instructional Designers primarily design and plan overall learning strategies and curricula. Both roles require similar credentials and are used across educational and corporate sectors, but their core responsibilities differ in content creation versus instructional planning.

What are popular job titles related to Learning Developer jobs in Ohio? For Learning Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Learning Developer jobs in Ohio look for? The top searched job categories for Learning Developer jobs in Ohio are:
What are popular job titles related to Learning Developer jobs in OH? For Learning Developer jobs in OH, the most frequently searched job titles are:
Learning Developer jobs near you
Infographic showing various Learning Developer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $79,750 per year, or $38.3 per hour.

Senior Machine Learning Engineer (Reinforcement Learning/World Model)

Path Robotics

Columbus, OH • On-site, Remote

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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.
We are hiring two Senior Machine Learning Engineers with complementary specializations:
  • Senior Machine Learning Engineer, World Models
  • Senior Machine Learning Engineer, Reinforcement Learning
Senior ML Engineer, World Models
What You'll Do
  • Build action-conditioned world models that predict how the welding process evolves under changes to robot motion and process parameters.
  • Model relationships among inputs, system state, physical dynamics, and resulting weld quality.
  • Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters.
  • Explore latent dynamics, video prediction, generative modeling, and spatiotemporal representations.
  • Improve long-horizon rollout accuracy, physical plausibility, temporal consistency, and computational efficiency.
  • Quantify model uncertainty and identify conditions under which predictions are unreliable.
  • Validate learned predictions against real-world welding data.
  • Integrate the model into RL, planning, process-optimization, evaluation, and synthetic-data workflows.
  • Prevent downstream optimization systems from exploiting inaccuracies in the learned model.
  • Translate promising research into scalable training and inference systems.
Senior ML Engineer, Reinforcement Learning
What You'll Do
  • Develop reinforcement learning approaches for optimizing welding decisions and process outcomes.
  • Define state, observation, action, and reward representations based on measurable manufacturing objectives.
  • Train and evaluate policies using learned world models, traditional simulation, offline datasets, and controlled real-world experiments.
  • Develop offline, model-based, or constrained RL methods suitable for limited and expensive physical interaction.
  • Optimize across competing objectives such as weld quality, cycle time, reliability, energy use, and equipment constraints.
  • Design methods that account for uncertainty, distribution shift, delayed outcomes, and sparse or imperfect reward signals.
  • Diagnose reward exploitation, unsafe behavior, policy instability, and model exploitation.
  • Establish reliable offline and real-world policy evaluation methods.
  • Partner with controls, welding, robotics, world-model, data, and ML infrastructure engineers.
  • Translate research prototypes into dependable training, evaluation, and deployment systems.
Who You Are
  • Master's or PhD in Computer Science, Robotics, Machine Learning, or related field, or equivalent practical experience.
  • Experience developing and deploying reinforcement learning algorithms on real-world systems.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with simulation environments (e.g., MuJoCo, Isaac Gym).
  • Solid understanding of probability, statistics, and optimization.
  • Experience with training and deploying ML models in production systems.
Why You'll Love It 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.

Apply