Top 20 Big data/machine learning engineer Jobs in Columbus

Senior Machine Learning Engineer
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Master's degree
- Paid parental leave
- Health insurance
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Machine Learning Engineer, Robot Learning
Path Robotics —Columbus, OH
- Computer Science
- Master's degree
- Doctor of Philosophy
- Paid parental leave
- Health insurance
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Software Engineer
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid parental leave
- Health insurance
AWS Big Data Lead Software Engineer
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- Linux
- Health insurance
- Tuition reimbursement
AI Engineer
Pointer Infotech L.L.C —Columbus, OH
- $65 - $70 an hour
- Contract
- Computer science
- Azure
- Computer Science
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4d
Specialist, Data Engineer - SQL and Snowflake
Nationwide —Columbus, OH
- 8 hour shift
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
3d
Machine Learning Engineer, Robot Learning, Loco-Manipulation
Path Robotics —Columbus, OH
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health insurance
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Specialist, Data Engineer Test Lead - ETL, Python, Perl
Nationwide —Columbus, OH
- 8 hour shift
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Disability insurance
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Path Robotics —Columbus, OH
- Remote
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
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Senior Software Engineer - eResources
OCLC —Dublin, OH
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid parental leave
- Health insurance
Production Fabricator
Path Robotics —Columbus, OH
- High school diploma or GED
- Ability to lift 50 pounds
- 1 year
- Paid parental leave
- Health insurance
Quick Apply
8d
Cyber AI Data Engineer Senior Consultant
Deloitte —Columbus, OH
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Manager of Software Engineering
JPMorganChase —Columbus, OH
- Full-time
- Azure
- Writing skills
- Java
- Health insurance
- Tuition reimbursement
9d
Advanced Controls Engineer
Vertiv —Westerville, OH
- Computer Science
- 5 years
- Engineering
AI Architect
Vertiv —Westerville, OH
- Computer science
- 7 years
- Azure
Site Strategy Manager, Data Center Sites - Remote (U.S.)
AECOM —Columbus, OH
- $150,000 - $220,000 a year
- Full-time
- Hybrid work
- Engineering
- 8 years
- Travel
- AD&D insurance
- Employee stock purchase plan
2d
Electrical Modeling and Simulation Engineer
Vertiv —Delaware, OH
- Software troubleshooting
- Data analysis skills
- Mid-level
1d

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Senior Machine Learning Engineer
Path Robotics —Columbus, OH
Develop multimodal models using data such as video, 3D scans, thermal measurements, electrical signals, robot state, and process parameters.
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Machine Learning Engineer, Robot Learning
Path Robotics —Columbus, OH
We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously…
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Senior Machine Learning Engineer

Path Robotics -
Columbus, OH

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Job Details

Benefits

Paid parental leave
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Referral program
Food provided

Qualifications

Policy analysis

Full 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 [email protected]. 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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Refine Your Search

big data/machine learning engineer jobs in columbus

Senior Machine Learning Engineer

Machine Learning Engineer, Robot Learning

Software Engineer

AWS Big Data Lead Software Engineer

AI Engineer

Specialist, Data Engineer - SQL and Snowflake

Machine Learning Engineer, Robot Learning, Loco-Manipulation

Specialist, Data Engineer Test Lead - ETL, Python, Perl

Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation

Senior Software Engineer - eResources

Production Fabricator

Cyber AI Data Engineer Senior Consultant

Manager of Software Engineering

Advanced Controls Engineer

AI Architect

Site Strategy Manager, Data Center Sites - Remote (U.S.)

Electrical Modeling and Simulation Engineer

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Senior ML Engineer, World Models

What You'll Do

Senior ML Engineer, Reinforcement Learning

What You'll Do

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