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Remote Senior Machine Learning Engineer Jobs in Columbus, OH

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH

$117.20K - $175.80K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

Mimecast

Machine Learning Engineer II

Columbus, OH

$94.20K - $128.90K/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 ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94.20K - $128.90K/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 ...

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Remote Senior Machine Learning Engineer information

See Columbus, OH salary details

$72.9K

$138.4K

$185.5K

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

As of May 30, 2026, the average yearly pay for remote senior machine learning engineer in Columbus, OH is $138,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $156,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Columbus, OH? For Remote Senior Machine Learning Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Columbus, OH with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $138,405 per year, or $66.5 per hour.
Senior Machine Learning Engineer, Neural Simulators

Senior Machine Learning Engineer, Neural Simulators

Path Robotics

Columbus, OH • On-site, Remote

$118.30K - $156K/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.
This role can be located in our Columbus, Ohio Headquarters or Remote.
What You'll Do
  • Build a learned world model of the welding process that predicts future system behavior under robot actions.
  • Develop multimodal neural simulators incorporating signals such as 3D scans, video, thermal data, and electrical measurements.
  • Design, train, and evaluate large-scale generative or dynamics models (e.g., video prediction, latent world models, 3D or spatiotemporal representations) capable of long-horizon rollouts.
  • Collaborate with reinforcement learning engineers by integrating the neural simulator into RL pipelines for policy training and evaluation.
  • Run research tracks in parallel with production development, including hypothesis-driven experimentation and ablation.
  • Partner closely with data and MLOps teams to support scalable training, evaluation, and deployment - while remaining comfortable owning pieces of the stack when needed.
  • Translate research prototypes into robust, maintainable production code when they prove valuable.
  • Validate simulator performance against real-world robotic welding data and support sim-to-real transfer.
Who You Are
  • Experience building and deploying ML systems for robotics or other complex physical processes in real-world settings.
  • Hands-on experience with world models, learned simulators, video generation, 3D modeling, or dynamics prediction.
  • Comfortable training large models from scratch and working with the tooling and infrastructure required to scale experiments.
  • Enjoy working with messy, real-world data and are pragmatic about imperfect ground truth.
  • Strong software engineer with solid Python skills and experience in frameworks such as PyTorch or JAX.
  • You are excited by a role that blends research depth with practical impact, and you're willing to context-switch when the team needs it.
A Note on Background
We do not expect prior welding experience. We do expect comfort modeling complex physical systems from data, reasoning about failure modes, and iterating toward accuracy under real-world constraints.
Why This Role
  • You'll help define the core learning infrastructure that underpins our robotic systems
  • You'll have space to pursue research tracks that run in parallel with production development.
  • You'll work on problems where success is measurable in the physical world - not just benchmarks.
  • You'll join a team that values depth, ownership, and adaptability over narrow specialization.

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 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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