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Junior Full Stack Machine Learning Engineer Jobs in Columbus, OH

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

Full Stack Java Developer

Columbus, OH · On-site

$49 - $63.25/hr

Java, Python preferred, AWS, microservices, heavy backend As a Software Engineer III at JPMorgan ... machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills * Familiarity ...

Java/Angular Full Stack Developer (ID: KK11DR11151) Java/Angular Full Stack Developer We are looking for an experienced Full Stack Developer proficient in Java, API development, JUnit, Mockito, SQL ...

New

Java Full stack

Columbus, OH · On-site

$50.75 - $65.50/hr

Keylent Inc is seeking a Java Full Stack developer with extensive experience in design and development. The role involves working with core Java, Spring, Spring Boot, and microservices architecture ...

This role is for a Full Stack Developer focused on designing, building, and maintaining highly scalable web applications, architecting enterprise integrations, and optimizing DevOps pipelines within ...

Java Full Stack Engineer

Columbus, OH · On-site

$50.75 - $65.50/hr

Info Way Solutions is seeking Java Full Stack Engineers at multiple experience levels to join a dynamic engineering team. The ideal candidates will have strong expertise in Java, Python, AWS, and ...

Java Full Stack Developer

Columbus, OH · On-site

$50.75 - $65.50/hr

Java Full Stack Developer Job Location: Columbus, OH Job Type: Contract : * Java Full Stack ... Software Engineer should have general development skills, mainly in Java and JavaScript * General ...

Showing results 21-40

Junior Full Stack Machine Learning Engineer information

See Columbus, OH salary details

$44.9K

$91.3K

$137.2K

How much do junior full stack machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior full stack machine learning engineer in Columbus, OH is $91,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $92,200.00 per year, depending on experience, location, and employer.

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Columbus, OH?

The most popular types of Full Stack Machine Learning Engineer jobs in Columbus, OH are:

What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Columbus, OH look for?

The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Columbus, OH are:

Machine Learning Engineer, Robot Learning

Columbus, OH • On-site

Path Robotics
Industrial Automation Equipment Manufacturing • 201 - 500 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 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.
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.