UNKNOWN

FEED

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI: Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land). Collaboration: Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.

Carnegie Mellon University Software Engineering Institute

Senior Autonomous Systems Research Scientist

linkup_via_bold

The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

Senior Machine Learning Engineer - Secure AI Lab

This position will serve as a technical expert and project management leader responsible for permitting, environmental compliance, and regulatory strategy for major energy infrastructure projects including natural gas pipelines, LNG facilities, compressor stations, electric transmission lines, renewable energy projects, carbon capture facilities, and other FERC-regulated developments. The ideal candidate will possess extensive experience navigating complex federal and state environmental permitting requirements, leading multidisciplinary project teams, preparing FERC environmental documentation, and supporting clients through the project development lifecycle—from feasibility and routing studies through permitting, agency coordination, construction, and compliance.

Edge Engineering and Science

Senior Environmental Permitting Project Manager

sourcestack_via_bold

Role: Java Technical Lead in Pittsburgh, PA ONLY ON W2 Duration: 6+ Months Skills: Java API Management & Microservices~Java Continuous Integration and Deployment. Databases & Cloud: Strong knowledge of SQL/NoSQL databases (MySQL| Oracle| MongoDB) and cloud platforms (AWS| Azure| or GCP).

Nationmind

Java Technical Lead only on W2

In this role, you'll make an impact in the following ways: Embed with business and platform stakeholders to scope and execute time-boxed FDE engagements with clear entry and exit criteria; translate defined opportunities into production-ready delivery plans. Design, build, and harden AI-first solutions across data, APIs, services, and workflow integrations, moving confidently from prototype to secure, scalable production deployment.

Junior Developer Jobs in Pennsylvania

Senior Autonomous Systems Research Scientist Carnegie Mellon University Software Engineering Institute

Senior Machine Learning Engineer - Secure AI Lab Carnegie Mellon University Software Engineering Institute

Senior Environmental Permitting Project Manager Edge Engineering and Science

Java Technical Lead only on W2 Nationmind

Senior Vice President, Forward Deployed Engineer The Bank of New York Mellon

Similar Job Searches

Stand out to leading employers.