Assist in identifying and building solutions for various GenAI problems
Support the end-to-end lifecycle of ML and AI projects, from scoping and adaptation to application integration, monitoring, and performance management
Aid in the investigation of ML and AI methodologies, including deep learning, LLM, and graph NN, to address diverse challenges across different business verticals and customers
Help build and deploy contextual Chatbots and analytical tools to provide bespoke responses to internal and external customers across different platforms
Participate in the development and fine-tuning of LLM models trained on internal multi-modal data (e.g., documents, policies, PDFs, graphs, text) for new problem sets
Collaborate with team members to foster a culture of widespread ML utilization

Currently pursuing a graduate level degree in Computer Science, Statistics, Economics, or a relevant technical field
Strong understanding of machine learning concepts and techniques
Hands-on experience with deep learning models, reinforcement algorithms, or recommendation systems
Eagerness to learn and apply new skills in a practical setting
Strong problem-solving skills and a proactive mindset
Preferred: Currently pursuing a master’s or PhD degree
Well awareness and experience of using techniques across LLM models, data mining, NLP, or computer vision through coursework or personal projects
Knowledge of basic programming languages (e.g., Python) and machine learning libraries (e.g., TensorFlow, PyTorch)

Excellent benefits package that includes 401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

ML/AI Intern

Key skills