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Graph Neural Network Internship Jobs in Florida (NOW HIRING)

Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

Our work spans networking, security, observability, and customer experience - designing and ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... Deep proficiency with modern machine learning, including deep learning, transformers, graph neural ...

Graph Neural Network Internship information

What is a Graph Neural Network Internship?

A Graph Neural Network (GNN) Internship is a position designed for students or recent graduates to gain hands-on experience working with GNNs, a type of deep learning model that processes data structured as graphs. Interns typically participate in research, model development, and the application of GNNs to various problems such as social network analysis, recommendation systems, or molecular property prediction. The internship provides opportunities to collaborate with experienced researchers, learn cutting-edge techniques, and contribute to real-world projects involving graph-based machine learning.

What types of projects or tasks can I expect to work on during a Graph Neural Network Internship?

As a Graph Neural Network (GNN) intern, you will typically be involved in projects such as developing and optimizing GNN models for real-world datasets, implementing new neural network architectures, and conducting experiments to evaluate model performance. You may also assist with data preprocessing, feature engineering, and collaborating with data scientists and machine learning engineers to integrate GNN solutions into larger systems. Regular tasks include reviewing recent research, documenting findings, and presenting your results to the team. This internship offers an excellent opportunity to deepen your understanding of advanced machine learning methods while gaining hands-on experience in a collaborative research-focused environment.

What are the key skills and qualifications needed to thrive as a Graph Neural Network Intern, and why are they important?

To thrive as a Graph Neural Network Intern, you need a solid background in machine learning, data science, and programming languages such as Python, often supported by coursework or research experience in deep learning and graph theory. Familiarity with frameworks like PyTorch Geometric, TensorFlow, and libraries such as NetworkX, along with experience using Jupyter Notebooks and Git, is typically expected. Strong analytical thinking, problem-solving skills, and effective communication help interns collaborate with research teams and convey complex ideas clearly. These skills and qualifications are essential for contributing to cutting-edge AI projects and advancing research in graph-based machine learning.
What job categories do people searching Graph Neural Network Internship jobs in Florida look for? The top searched job categories for Graph Neural Network Internship jobs in Florida are:
What cities in Florida are hiring for Graph Neural Network Internship jobs? Cities in Florida with the most Graph Neural Network Internship job openings:
AI/ML Software Engineer with Security Clearance

AI/ML Software Engineer with Security Clearance

MRSL Real-Time Systems Laboratory, Inc

Sarasota, FL • On-site

Other

Posted 16 days ago


Job description

Job Duties: You will be responsible for designing, developing, and implementing AI/ML solutions for a wide range of decision-making and SIGINT processing needs. This includes working with time-series data and developing models for event characterization, pattern recognition, anomaly detection, decision making, and automated analysis of SIGINT sensor systems. You will work with team leads to integrate AI/ML capabilities into enterprise architectures, ensuring performant processing while considering aspects of accuracy, security, and maintainability. This also includes enabling autonomous decision-making systems that can operate with minimal human intervention, creating adaptive processing systems for dynamic environments, and discovering features and inferring system states from the underlying data streams. You will work towards solutions for large-scale sensing systems, implementing tailored models deliver intelligent insights in support of critical Intelligence Community and Department of Defense missions. AI/ML Software Engineer for Signal Processing Applications Requirements: We are looking for an engineer with a solid foundation in artificial intelligence and machine learning applications to help us solve challenging problems related to signal processing. The right candidate will have a high degree of drive and dedication, and the ability to learn quickly, work well within a team, and hit the ground running. Required Minimum Qualifications: TS/SCI active clearance required. U.S. Citizenship required BS degree or higher in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or related field Minimum 1-year hands-on experience in AI or ML in a professional environment (3-5 years preferred) Strong knowledge of machine learning model development, deployment, and modern ML libraries (TensorFlow, PyTorch, scikit-learn, etc.) Solid programming background with experience using statistical and signal analysis libraries Experience with neural network architectures including deep learning models Understanding of transformer architectures and attention mechanisms Strong understanding of MLOps, deployment and processing pipelines, testing/validation Nice to have, but not required: Understanding of digital signal processing fundamentals Experience with RFML Experience with Large Language Models (LLMs) including fine-tuning and prompt engineering Knowledge of AI applications for autonomous decision-making and analysis Additional consideration for experience with multimodal, agentic systems using RAG, COT, or MARL approaches Experience with reinforcement learning, human feedback, and related system learning methods Experience creating and deploying containerized AI models with Docker/Kubernetes Working with cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) Experience with model monitoring, A/B testing, and performance optimization Experience with real-time inference systems and low-latency model serving Knowledge of adversarial ML and AI security/robustness techniques Experience with graph neural networks for network analysis Experience in design, deployment, support of AI or ML model for significant real-world applications About the Organization MRSL is an employee-owned company with its headquarters in Sarasota, FL. MRSL also has offices in Monterey, CA and Dayton, OH as well as several employees located at customer facilities in the US and around the globe. MRSL has deep experience in signal processing application and common services development for the National agencies of the Intelligence Community (IC) and the Department of Defense. We develop and deploy multiple applications and system infrastructures for use in client mission operations. MRSL specializes in the development of mission-oriented signal processing algorithms, applications, and associated services for our customers. MRSL excels in the design, development, and deployment of signal processing applications using the X-Midas framework, since we evolve and sustain this framework for the entire community of the IC contractors. MRSL employs engineers and researchers who specialize in cutting-edge signal processing technologies, system and software design, life cycle support, signal analysis, communications and software development. MRSL proudly offers highly competitive wages and benefits. We offer a business casual atmosphere with a team-oriented environment. MRSL is looking for candidates with a solid academic background in engineering/science with good hands-on programming skills, a high degree of drive and dedication, ability to learn quickly and who works well with others. To apply go to www.mrsl.com and select Careers.