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Ml Inference Jobs in Columbus, OH (NOW HIRING)

Path Robotics

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

... solving ML, CV, and robotics problems. * Collaborate with the data platform team to integrate data processing, training, and inference capabilities - without owning those pipelines end-to-end.

Path Robotics

Senior Software Engineer

Columbus, OH · On-site

$118K - $156K/yr

... solving ML, CV, and robotics problems. * Collaborate with the data platform team to integrate data processing, training, and inference capabilities - without owning those pipelines end-to-end.

Deloitte

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110K - $132K/yr

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more ...

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$36.2K

$118.6K

$189.8K

How much do ml inference jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ml inference in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What is ML inference?

ML inference refers to the process of using a trained machine learning model to make predictions or decisions based on new data. After a model has been trained on historical data, inference is the phase where that model is deployed and used in real-world applications, such as recognizing speech, detecting objects in images, or recommending products. The focus in ML inference is on speed, efficiency, and scalability to ensure quick predictions, often in real time. This process is critical for practical applications like mobile apps, web services, and embedded systems. Optimizing inference involves reducing latency, memory usage, and computational requirements.

What is the difference between Ml Inference vs Data Scientist?

AspectML InferenceData Scientist
Required CredentialsKnowledge of machine learning models, programming skillsDegree in data science, statistics, or related fields
Work EnvironmentDeploying models in production, real-time data processingData analysis, model development, research
Industry UsageAI product deployment, software companiesResearch institutions, tech firms, consulting

ML Inference focuses on deploying trained models to make predictions on new data, often in real-time. Data Scientists develop and analyze models, working primarily in research and development. While both roles require understanding of machine learning, ML Inference emphasizes deployment and operationalization, whereas Data Scientists focus on model creation and analysis.

What are some common challenges faced by ML Inference Engineers when deploying models to production?

ML Inference Engineers often encounter challenges such as optimizing model latency and throughput to meet production requirements, ensuring compatibility with diverse hardware environments, and managing model versioning and updates without disrupting service. Additionally, balancing resource utilization and inference accuracy while monitoring real-time performance metrics is crucial. Collaboration with data scientists, DevOps, and software engineers is typically essential to streamline deployment and maintain robust, scalable inference pipelines.

What are the key skills and qualifications needed to thrive in ML Inference, and why are they important?

To thrive in ML Inference, you need a solid background in machine learning principles, programming (Python or C++), and experience with deploying models at scale, often supported by a degree in computer science or a related field. Familiarity with frameworks and tools such as TensorFlow, PyTorch, ONNX, and cloud platforms like AWS SageMaker or Google AI Platform is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with multidisciplinary teams and optimizing model performance. These skills ensure efficient, scalable, and reliable deployment of machine learning solutions in real-world applications.
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Ml Inference jobs near you
Senior Software Engineer, Perception Platform

Senior Software Engineer, Perception Platform

Path Robotics

Columbus, OH • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

Build the Path Forward
At Path Robotics, we're attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.
We're looking for a Senior Software Engineer to be an architect and caretaker of our Perception codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You'll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation for our Perception models.
What You'll Do
  • Wrap perception ML models (part registration, seam localization, real-time weld tracking) into reliable production services that ship to our internationally deployed fleet of welding robots.
  • Build gRPC/Protobuf service interfaces with rigorous schema versioning so ML models can evolve seamlessly within our software stack.
  • Own deployment infrastructure, including containerization, CUDA/PyTorch environment management, and GPU memory budgeting.
  • Build observability and telemetry pipelines that surface fleet-wide perception failures, connecting model metrics to operator outcomes and shortening debug cycles.
  • Design data pipelines that close the active-learning loop, ingesting fleet data through annotation tools and routing labeled data back to training services.
  • Help establish software best practices and drive engineering quality through code review, testing harnesses, and CI/CD, and mentor mid-level engineers writing production perception services.

Who You Are
  • 5+ years building production backend systems in Python (C++ is a plus).
  • Expertise in architecture, concurrency, performance, and API design.
  • Deep experience designing and operating gRPC/Protobuf services in production, including schema evolution and backward-compatible API contracts across long-lived clients.
  • Hands-on with containerized deployment, Linux, and GPU compute. Comfortable diagnosing CUDA driver, PyTorch version, and memory allocation issues on inference hardware.
  • Experience building developer tools, frameworks, or platforms, especially those used by ML, CV, or research teams.
  • Comfortable enough with ML and computer vision workflows (training loops, evaluation harnesses, point clouds) to support them in code, even though you don't necessarily tune models yourself.
  • Thrive at the boundary between research and production, translating prototypes into reliable services while enabling the researchers behind them.
Why You'll Love It Here
  • Free lunch every day
  • Flexible PTO
  • Medical, Dental, and Vision insurance
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus
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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