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Junior Full Stack Machine Learning Engineer Jobs in Columbus, OH

CapTech Consulting

Full-Stack Engineer

Columbus, OH · On-site

  • Medical

  • Retirement

  • PTO

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 ...

Prophecy Technologies

Full Stack Developer

Columbus, OH · On-site

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 ...

Staffingine LLC

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 ...

BC Forward

Java Full Stack Developer

Columbus, OH · On-site

$50 - $60/hr

Java Full Stack Developer - Intermediate Location: Columbus, OH Duration: Contract - 5 months Pay Range: $50-60/hr (W2) About BCforward BCforward is a leading global IT consulting and workforce ...

Centraprise

Full Stack Java Developer

Columbus, OH · On-site

$49.50 - $63.75/hr

Hi, Title- Java Developer Location- Columbus, OH | Onsite Role- Contract We are seeking an experienced Senior Full Stack Java Developer with 12+ years of hands-on experience in designing, developing ...

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All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in Columbus, OH

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 Aug 17, 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 are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Columbus, OH?

For Junior Full Stack Machine Learning Engineer jobs in Columbus, OH, the most frequently searched job titles 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:

Junior Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer, Robot Learning, Loco-Manipulation

Path Robotics

Columbus, OH • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 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 standing up a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing.
We are seeking a Machine Learning Engineer to join us as a founding member. You will be among the first ML engineers on a research stack that does not exist anywhere else in the field built around visual reasoning, learned action policies, and reinforcement-learning fine-tuning from real customer data.
What You'll Do
  • Build the team's robot-learning stack from the ground up. This is a founding role; you are designing the training infrastructure, data pipelines, simulation environments, model architectures, and deployment workflows - not inheriting them. Multi-modal perception, scene understanding, and learned action generation work in tight coordination on the stack you help create.
  • Stand up ML infrastructure - training pipelines, experiment tracking, data versioning, reproducible sim-to-real workflows.
  • Train policies across manipulation, locomotion, and the whole-body control coupling between them. On legged platforms performing precision tasks, manipulation and locomotion are not separable - every arm motion shifts the centre of mass; the whole-body controller compensates in real time to maintain accuracy at the tool. Behavioural cloning, diffusion- and flow-matching action generation, reinforcement-learning fine-tuning. Cobots, industrial arms, and mobile platforms.
  • Deploy in stages - through a phased rollout strategy that builds production trust over time. Every real-world execution accumulates training data for continuous improvement.
  • Collaborate daily with mechanical engineers, perception engineers, robotics engineers, and manufacturing domain experts. Within-department rotation across home teams is expected.

Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field - or equivalent experience.
  • 2+ years of hands-on robot learning experience. You have trained policies and deployed them on real robot hardware - not just in simulation.
  • Sim-to-real transfer experience - built simulation environments, implemented domain randomisation, transferred policies to physical robots, debugged where it broke.
  • Implementation experience with diffusion-based or flow-matching action policies for robots, and with action chunking.
  • Reinforcement learning for robotics applied on real hardware - sample-efficient on-robot methods, residual RL on top of pretrained policies, on-policy fine-tuning of foundation policies.
  • Strong programming skills in Python; PyTorch and ML training infrastructure at production level.
  • Practical experience with NVIDIA Isaac Sim / Isaac Lab, MuJoCo, or equivalent.
  • Comfort with physical robots - debugging, iterating, deploying.
  • Strong communication skills, able to convey complex technical concepts to a diverse audience.

Strongly Preferred:
  • Edge inference on edge-class hardware (TensorRT, ONNX, FP16 / INT8 quantisation). Real-time on-robot deployment is a core requirement.
  • Visual self-supervised representation learning experience on robot or 3D-vision tasks.
  • Legged-robot or whole-body control experience - locomotion, manipulation on a floating base, or the integration between them on quadrupeds or humanoids.
  • Physics-informed ML - hybrid models where learned components are constrained by known physics.
  • Experience building ML pipelines or infrastructure in a team setting.

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 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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