3 ml engineer intern jobs at 3 companies in Ohio

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
1d
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Process Improvement & AI Intern
Canton, Ohio, United States
$19-$34/hr OnsiteInternship
Metallus
MetallusNew York Stock Exchange: MTUS: Manufactures high-performance specialty steel bars and mechanical tubing.
Full-time student with ≥30 credit hours and minimum 2.5 GPA; coursework or exposure to AI/ML and Lean/Six Sigma preferred; majors in engineering, data analytics, computer science, statistics, or related; able to analyze and present data.
1mo
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Senior Software Engineer, Machine Learning
Columbus, Ohio, United States
OnsiteFull Time
Path Robotics
Path Robotics: Developing autonomous robotic welding systems for manufacturing.
Architect, build, and maintain production-grade Python systems; lead practices; develop internal tooling for ML/CV/robotics workflows.
Python, CI/CD, Cloud, APIs, Machine Learning
1mo
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Director, Data Science: Data Science Tools
Boston or Portsmouth or Seattle or Columbus or Plano
$120k-$257k/yr HybridFull Time
Liberty Mutual Insurance
Liberty Mutual Insurance: Global provider of property and casualty insurance products.
3+ YOEExperienced data scientist with multi-year experience building Python-based ML tooling, pipelines, and internal packages; familiarity with MLOps, AI/LLM agent frameworks, workflow tools, and software engineering practices.
Python, MCP, RAG, PydanticAI, LangChain, Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, LightGBM, Pydantic, FastAPI, uv, ruff, pytest, Git, Bash, pre-commit, Databricks, Streamlit, Dash, NiceGUI, Plotly