AI/ML Scientist Intern

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  

We're seeking enthusiastic NLP Interns to join our team in developing cutting-edge AI solutions focused on Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). This internship is perfect for Master's or PhD students who are passionate about applying their academic knowledge to real-world challenges, collaborating with industry experts, and gaining hands-on experience in a supportive, innovative environment. As an NLP Intern, you’ll have the opportunity to work on impactful projects that shape the future of AI in finance and insurance. You’ll receive mentorship from seasoned professionals, gain practical experience with state-of-the-art technologies, and build a foundation for a successful career in AI and NLP. We value curiosity, collaboration, and growth, ensuring you thrive in a dynamic and inclusive team culture. 

Responsibilities 

• Assist in designing and implementing NLP models and RAG systems under the guidance of senior team members.
• Support the Agents Task Force by contributing to the creation and deployment of intelligent agents to enhance automation, decision-making, and customer interaction capabilities.
• Aid in the customization, fine-tuning, and alignment of Large Language Models for specific industry use cases.
• Contribute to building data processing pipelines and experimental setups for model training, testing, and evaluation.
• Help create benchmark datasets for LLM systems and collaborate with academic partners on avant-garde methodologies to address performance challenges in LLM and RAG systems.
• Participate in team discussions to brainstorm AI solutions and gain insights into strategic project planning.
• Assist in creating technical documentation and presenting findings or progress updates to internal teams.
• Stay curious by exploring emerging AI tools, NLP techniques, and research trends with mentorship from experienced developers.
• Work alongside world-class scientists and engineers to deliver top-tier AI products tailored for financial and insurance clients

Minimum Qualifications: 

• Currently enrolled in a master’s program in Computer Science, Engineering, Data Science, or a related field.
• Strong foundational programming skills in Python (knowledge of additional languages like Go or C++ is a plus but not required).
• Basic understanding of NLP concepts and techniques (e.g., tokenization, embeddings, sentiment analysis, or text classification).
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn through coursework, personal projects, or research.
• Interest in or exposure to LLMs and RAG systems through academic studies, personal projects, or internships.
• Effective communication skills to collaborate with team members, share ideas, and discuss challenges.
• Currently enrolled in or recently completed a Master’s or PhD program in Computer Science, Data Science, Artificial Intelligence, Linguistics, or a related field.

Preferred Qualifications: 

• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) through coursework, personal exploration, or projects.
• Contributions to research papers, conference submissions, or open-source AI/NLP projects.
• Basic knowledge of version control systems like Git for collaborative development.
• Enthusiasm for learning, a proactive attitude, and a passion for solving complex problems in NLP and AI.

Compensation 

The expected hourly rate for this role is $43.27/hour.

Position Location 

Santa Monica, CA