24 machine learning engineer jobs at 10 companies in Steubenville, OH
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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.
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.
Boston or Pittsburgh or Las Vegas or Remote U.S. Only or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
Bachelor’s, Master’s, or PhD in CS/CE or related; strong Python; PyTorch experience; ML training/inference optimization; problem-solving and data-driven approach.
Machine Learning Engineer - News, Books, and Stocks Team
Pittsburgh, Pennsylvania, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experience applying machine learning and software engineering to build production systems; strong collaboration with engineers and product teams to solve hard ML problems for consumer apps.
San Francisco or Dallas or Phoenix or Pittsburgh or Toronto or United States
$157k-$234k/yrRemoteFull Time
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
3+ YOE3-5 years in MLOps/DevOps; Bachelor's in CS/Data Science; Python proficiency; ML frameworks (TensorFlow/PyTorch); cloud platforms (AWS/Azure/GC); Kubernetes/Docker; CI/CD; strong problem-solving; production model monitoring.
Pittsburgh or Pennsylvania or Ohio or Michigan or West Virginia or Virginia or Maryland or North Carolina
$95k-$159k/yrRemoteFull Time
Sheetz: Family-owned convenience store chain providing prepared food and fuel.
5+ YOEBachelor's in CS/MIS/Computer Engineering required; 5+ years designing, developing, and operationalizing ML solutions with ML Ops focus; experience with large structured/unstructured data, ML pipelines, CI/CD, containerization, and cloud platforms preferred.
Software Engineering Institute: Developing software and AI engineering for national security.
5+ YOEAdvanced degree in CS or related with significant experience (BS+10/MS+8/PhD+5), able to work onsite in Pittsburgh, eligible for Department of War security clearance, experience in applied ML for autonomy and prototyping.
MLFlow, Weights & Biases, Docker, Azure, AWS, Google Cloud Platform
Senior Vice President, AI / Machine Learning Data Engineer
New York City or Lake Mary or Pittsburgh
$120k-$240k/yrOnsiteFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
9+ YOEBachelor's in computer science or equivalent, 9+ years software development and applied AI/ML experience, ability to lead technical teams, strong communication and enterprise software architecture knowledge.
CGINYSE: GIB: Provides information technology and business consulting services.
6+ YOE6+ years in data engineering/ML with 1-2 years GenAI experience; strong Python, PyTorch, Azure, MLOps, LLMs/GenAI, CI/CD, and enterprise data integration skills.
Python, PyTorch, GPT, Microsoft Azure, Azure Open AI, AutoGen, LangGraph, Langchain, Hugingface, Jenkins, MongoDB, GraphQL
Dearborn or Palo Alto or Pittsburgh or United States
RemoteFull Time
Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
4+ YOEBachelor's (4+ years) or Master's (2+ years) in CS/EE/Robotics, 4+ years ML development experience, multi-object tracking and computer vision expertise, experience shipping perception software, proficiency with PyTorch, Python, and C++.
Stack AV: Develops autonomous driving technology for the commercial trucking industry.
7+ YOEBachelor's degree in CS/Engineering, 7+ years building and operating backend distributed systems, experience with ML inference serving, GPU-based inference, C++/Go/Rust/Python, deep learning frameworks and high-performance networking.