AI/ML Scientist Intern (Graphs)
The Organization
At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a diverse portfolio—including investments, finance, insurance, and media—by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by the central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel transformative projects in marketing, operations, and product development.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive industry innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver significant value and impact across our businesses.
The Role
As an intern in our AI/ML Center of Excellence Graphs Team, you will join a team of applied researchers and engineers building next-generation AI solutions. You will gain hands-on experience developing models and systems that support real-world use cases in graph AI, natural language processing, forecasting, optimization, reinforcement learning, speech, and conversational AI.
Graph AI is a core focus area at TWG, where we use graph-based techniques to model complex relationships in application areas such as fraud detection, knowledge graphs, and recommender systems. You will have the opportunity to work on state-of-the-art graph learning methods and contribute to initiatives involving foundation models and intelligent agents.
You will work within a team committed to upholding the highest standards of trust, transparency, safety, and security in AI, ensuring ethical practices and compliance with relevant regulations. Collaboration with cross-functional teams and stakeholders will be a key part of your experience, providing exposure to both technical and business aspects of AI/ML initiatives.
Responsibilities
- Design, train, and evaluate AI/ML models, with an emphasis on graph-based learning techniques.
- Assist in data cleaning, engineering, and integration activities, as well as governance for AI projects. Support research and prototyping in graph neural networks, embeddings, and large-scale knowledge graphs.
- Support the Foundation Model and Agents Task Forces by contributing to research, data preparation, and model evaluation.
- Participate in maintaining documentation and inventory of AI/ML projects, ensuring adherence to governance and quality standards.
- Collaborate with team members and stakeholders to understand business requirements and translate them into technical tasks.
- Stay informed about emerging AI technologies, research, and best practices, sharing insights with the team.
- Contribute to the measurement and reporting of project performance metrics.
Minimum Qualifications:
- Currently enrolled in a Ph.D. or master’s program in Computer Science, Engineering, Data Science, Electrical Engineering, Physics, Economics, Operations Research, Statistics, Mathematics or a related field.
- Coursework or project experience in AI/ML, including exposure to at least one of the following: graph algorithms, graph ML, natural language processing, network science, parallel computing.
- Familiarity with Python or similar programming languages and common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong analytical and problem-solving skills.
- Ability to work collaboratively in a team environment.
Preferred Qualifications:
- Experience with cloud-based AI/ML tools or platforms.
- Exposure to AI/ML governance, ethics, or responsible AI practices.
- Experience with Graph Neural Networks or graph embeddings (node2vec, DeepWalk).
- Familiarity with frameworks such as LangChain, LangGraph, Deep Graph Library (DGL), or graph databases like Neo4j.
- Participation in research or industry projects related to Graph AI or Foundation Models.
- Strong communication skills and ability to present technical concepts to non-technical audiences.
Compensation
The expected hourly rate for this role is $43.27/hour.
Position Location
Santa Monica, CA
Average salary estimate
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