31 ml data engineer jobs at 10 companies in Oregon, OH
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
12+ YOE12+ years in software engineering/data science/AI-ML delivery; degree in CS/DS/Engineering; strong Python/SQL; experience deploying enterprise AI/ML; knowledge of cybersecurity/IAM; Power BI; Agile; cloud/MLOps.
Python, SQL, Power BI, JIRA, Azure, AWS, GCP, MLOps
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
5+ YOE5+ years software engineering experience, bachelor’s in CS or related, cloud deployment experience (GCP/PCF/Azure), familiarity with ML and data engineering tools, strong coding and collaboration skills.
GCP, PCF, Azure, Terraform, BigQuery, Java, Python, SQL, Test-Driven Development (TDD), Spring Boot, Cloud Run, Angular, React, Vue, Kubernetes Engine (GKE), Google Cloud Storage (GCS), Cloud SQL, Cloud IAM, Jenkins, Tekton, GitHub Actions, Git, GitHub, Docker, Podman, Cloud Build and Deploy, Artifact Registry, Splunk, Dynatrace, Grafana, Apigee, Cloud Logging, SonarQube, Fossa, Cycode, Checkmarx, Big Data, PySpark, Microsoft SQL Server, PostgreSQL, MySQL, Google Vertex AI, XGBoost, CatBoost, Oozie, Apache Airflow, Astronomer, Vertex AI Endpoints
Boston or Indianapolis or Raleigh or Charlotte or Jacksonville or Chicago or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Los Angeles or Baltimore or Birmingham or St. Louis or Salt Lake City or San Diego or San Francisco or Silicon Valley or Seattle or Stamford or Tampa or Toledo or Austin or Washington or New York or Florham Park or Philadelphia or Phoenix or Pittsburgh or Houston
$77k-$202k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
4+ YOEBachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.
Databricks, dbt, Azure Databricks, Python, YAML, argparse, CI/CD, AI agent systems
KLANASDAQ: KLAC: Provides process control systems for the semiconductor manufacturing industry.
8+ YOEBachelor's in CS/Data Science or related; 8+ years software engineering with 3-5 years AI/ML; proficiency in Python, TensorFlow, Scikit-learn, RAG; strong statistics, ML/deep learning, cloud and DevOps experience; proven production deployments.
KLANASDAQ: KLAC: Provides process control and yield management for semiconductor manufacturing.
8+ YOEBachelor's in CS/Data Science/AI required (advanced degree preferred). 8+ years software engineering with 3–5 years AI/ML experience. Proficiency in Python, ML libraries, cloud, DevOps, Git, CI/CD, and production deployment experience.
Max AI: Autonomous AI agents for healthcare billing and revenue management.
6+ YOE6+ years ML/AI/data science in production, expertise in NLP and LLMs, experience with TensorFlow/PyTorch/scikit-learn/transformers/Hugging Face, Python; AWS experience preferred.
May Mobility: Develops and operates autonomous vehicle and robotaxi services.
2+ YOE2+ years building ML-oriented infrastructure or distributed systems; proficiency in C++, Python, PyTorch, Linux; experience with ML training pipelines, CI/CD, Terraform, and large-scale data/model parallelism.
Jackson Dawson: Creates brand experiences and marketing programs for global automotive brands.
4+ YOE4+ years building production systems; full-stack experience (React/Vue), backend with Python or TypeScript, strong SQL and relational DB design, ETL/data pipeline experience, GCP and AI/ML experience preferred.
Isuzu Technical Center of America: Automotive research and autonomous driving technology development.
Currently enrolled in an engineering/CS/AI-related degree; proficiency in Python and familiarity with C++, Linux, Git, SQL; experience or coursework in ML/DL, VLM/VLA/LLM concepts, multimodal data, and simulation preferred.