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Senior Machine Learning Engineer Jobs in Ohio (NOW HIRING)

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Develop and integrate machine learning workflows - including training data preparation, model ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small ... Develop and integrate machine learning workflows - including training data preparation, model ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Ohio

Senior Machine Learning Engineer information

See Ohio salary details

$56.6K

$120.3K

$174.5K

How much do senior machine learning engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for senior machine learning engineer in Ohio is $120,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $136,400.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Ohio? The most popular types of Machine Learning Engineer jobs in Ohio are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Ohio? For Senior Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Ohio look for? The top searched job categories for Senior Machine Learning Engineer jobs in Ohio are:
What cities in Ohio are hiring for Senior Machine Learning Engineer jobs? Cities in Ohio with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Ohio as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $120,317 per year, or $57.8 per hour.
Machine Learning Engineer, Robot Learning

Machine Learning Engineer, Robot Learning

Path Robotics

Columbus, OH • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted just now

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.
We are seeking a skilled and motivated Machine Learning Engineer with expertise in modern robotics and manipulation to join our Robot Learning team to build agentic AI systems for industrial applications. The ideal candidate will have experience in robotics, with a focus on developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. This role involves working closely with cross-functional teams to design, test, and deploy innovative solutions that improve the performance and capabilities of our robotic systems.
What You'll Do
  • Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
  • Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
  • Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
  • Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
  • Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
  • Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
  • Stay updated with the latest advancements in robotics, control theory, and planning algorithms.
Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Experience with machine learning techniques applied to robot manipulation.
  • Experience building models from scratch and deploying them in real-world applications.
  • Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
  • Strong programming skills in languages such as C++ or Python.
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Proven track record of deploying scalable solutions for autonomous robotic systems.
  • Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
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.

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