105 ml engineer jobs at 43 companies in Upper Saint Clair, PA
🚀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.
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
5+ YOE3+ Mgmt5+ years leading engineering teams in autonomous systems or AI; MS or PhD in CS/robotics/EE; expertise in imitation and reinforcement learning; experience with end-to-end planning and multimodal models.
Imitation Learning, Reinforcement Learning, Vision-Language-Action models, Large Driving Model, ML tooling
Dallas or Phoenix or Pittsburgh or San Francisco or Toronto or Remote US & Canada
$141k-$249k/yrHybridFull Time
Waabi: Develops Physical AI for autonomous trucking and robotaxis.
4+ YOEMS/PhD or Bachelor's with 4+ years in CS/Robotics; strong Python/C++/Rust; PyTorch or Jax; GPU/CPU profiling; collaborative; interest in self-driving tech.
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
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEBachelor in Computer Science, 8+ years experience in data/feature engineering or ML engineering; production feature pipelines, Python and SQL, Spark/Flink, cloud platforms; mentoring experience.
2+ YOEBachelor's degree or equivalent, 2+ years software development, 2+ years testing/maintaining or launching software, 1+ year LLM production experience, 1+ year ML/Generative AI experience; strong communication and design skills.
Johnston or Pittsburgh or Irving or Phoenix or Franklin or Charlotte or Cleveland or Boston or Iselin or Philadelphia or Chicago
$175k-$250k/yrOnsiteFull Time
Citizens Financial GroupNYSE: CFG: Provides retail, commercial, and private banking services to customers.
10+ YOE10+ years engineering experience, strong AI/ML and security knowledge, hands-on Python, AWS, Linux, CI/CD experience, deep application and cloud security understanding, excellent communication and mentoring skills.
Python, AWS, Bash, Jenkins, CircleCI, GitHub Actions, Kubernetes, Linux
DuolingoNASDAQ: DUOL: Mobile application for language learning and basic education.
Proven AI research engineering experience across LLMs, bandits, and ML stack (feature engineering, training, fine-tuning, RL, evaluation, deployment, monitoring); leadership and mentoring experience; advanced degree or equivalent experience.
Modeling & Simulation Principal Engineer - (Cranberry Township, US)
Cranberry Township, Pennsylvania, United States
$103k-$129k/yrHybridFull Time
WECTEC Staffing Services: Provides technical staffing and contingent labor for energy industries.
5+ YOE5+ years of relevant experience; MSc in Engineering or related field; experience in Computational Fluid Dynamics/Nuclear Engineering; ML/data analysis experience.
Computational Fluid Dynamics, Nuclear Engineering, Machine Learning, Data Analysis, Simulation
Carnegie Robotics: Designs and manufactures rugged autonomous systems and robotic sensors.
5+ YOEBachelor's or Master's in CS/CE/EE/ME, 5+ years on multidisciplinary teams for electro-mechanical or autonomous systems, strong technical judgment, documentation and presentation skills, product lifecycle and test experience.
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
5+ YOE5+ years deploying ML-based object detection on mobile robots; 2+ years in technical leadership; strong CV/ML expertise; PyTorch/OpenCV/NumPy; CPU/GPU optimization; MLOps experience; publications.
Skild AI: A robotics focused on building advanced robotic intelligence and deploying robotic systems.
3+ YOE3–5+ years robotics application development; BS/MS in CS/Robotics or related; Python and C++; ROS/ROS2; AI/ML for robotics; autonomous systems experience.
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
10+ YOE5+ Mgmt10+ years software engineering; 5+ years in fraud/financial crime; AI/ML for fraud; lead global teams; production AI; cloud-native; security.
Covestro: Manufacturer of high-tech polymers and specialized chemical materials.
3+ YOEDesign, develop, and deploy production-ready AI/ML systems; 3+ years AI/ML engineering experience; experience with containerization, cloud, data pipelines, and Python.
YinzCam: Builds mobile apps, websites, and streaming platforms for sports teams.
PhD in CS or related, strong publication record in top-tier CV/ML venues, deep computer vision and ML expertise, proficiency with PyTorch/TensorFlow, software engineering skills, and experience taking research to production.
Lab37: Developing automated robotic systems for commercial food production.
2+ YOE2+ years in data engineering or ML infrastructure; experience with workflow orchestration (Argo/Airflow/Prefect), Python/pandas, SQL, dbt, BigQuery/Athena, Kubernetes, Docker, ML training pipelines, and Terraform; on-call participation.