Deep Learning Engineer II (Multiple Positions) (REF286216I)
Pittsburgh, Pennsylvania, United States
HybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
3+ YOEMaster’s degree or foreign equivalent in IT or Electronic Engineering; 3 years in deep learning; Python, PyTorch/Lightning, MLFlow/Numpy/Scipy/Matplotlib.
Latitude AI: Developing automated driving technology for next-generation Ford vehicles.
8+ YOE8+ years automotive sensing experience (radar or lidar), bachelor's in related field, strong Python (NumPy,pandas,Jupyter), sensor data analysis, supplier engagement, and technical leadership.
Boston or Pittsburgh or Las Vegas or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS/MS in CS/ML, strong Python, hands-on PyTorch (or TensorFlow/JAX), SQL, Pandas, NumPy, experience with large datasets and full ML lifecycle, version control and unit testing proficiency.
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.
Software Engineering Institute: Developing software and AI engineering for national security.
2+ YOEExperience in AI/ML and cybersecurity, familiarity with vulnerability research, reverse engineering, and AI robustness evaluation; proficiency in Python or C/C++; experience with tools like Numpy, PyTorch, TensorFlow, ART, Ghidra, or IDA Pro.
Numpy, Pytorch, Tensorflow, ART, NSA Ghidra, IDA Pro, Python, C/C++
Carnegie Mellon University: Global research university providing higher education and conducting scientific research.
3+ YOEPart-time research role requiring strong computer vision and ML skills; 3-5 years of research experience; MS/BS in a related field; strong programming and data analysis abilities.
Concurrent Technologies Corporation: Conducts applied research and development for national security.
3+ YOEBachelor's degree in a quantitative field, 3–5 years data science experience, proficiency in Python, SQL, PySpark, statistical and ML methods, strong communication and problem-solving skills.
Python, Pandas, NumPy, Scikit-learn, SQL, PySpark, AWS, Azure, GCP, Spark, Hadoop, Tableau, Power BI, Matplotlib, R, SAS
LMI: Provides management consulting and digital solutions to federal government agencies.
3+ YOE3+ years data engineering with Palantir Foundry and Databricks, proficiency in Python and SQL, Foundry pipeline development (PySpark/Pipeline Builder), Git/CI/CD, leadership/mentorship experience, and ability to obtain Active Secret clearance.
CGINYSE: GIB: Provides information technology and business consulting services.
4+ YOE4+ years professional Python experience, Kubernetes/OpenShift, CI/CD, Bitbucket/Git, SQL, API development, job orchestration, and automation for production systems.