AI/ML Research Intern

Skills

About the Role

As an AI/ML Research Intern, you will be an integral member of a team of experienced technologists, quantitative researchers, and traders. You will collaborate closely with other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include solving forecasting problems or developing large language models (LLMs). You will design and implement large scale deep learning models for computer vision, reinforcement learning, graph neural networks or similar domains, improve data and data pipelines, work on time series forecasting, and apply deep learning methods to telemetry data. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and attend a robust training program to ensure your success.

Requirements

• Pursuing a master's or PhD (preferred) degree in a technical discipline focusing on machine learning, deep learning or NLP, graduating between December 2027 and June 2028
• Expertise in deep learning, machine learning and statistics
• Demonstrated experience training large models
• Good knowledge of deep learning tools and packages such as Tensorflow, Pytorch, Keras, scikit-learn
• Experience programming in Python
• Experience with scripting
• Strong communication skills
• Positive, team-oriented attitude
• Software best practices (agile, version control, experiment tracking, code review) are a plus
• Publications in relevant conferences and journals are a plus

Responsibilities

• Design and implement large scale deep learning models for computer vision, reinforcement learning, graph neural networks or similar domains
• Improve data and data pipelines
• Perform time series forecasting
• Apply deep learning methods to telemetry data

Benefits

• Fully furnished apartments located close to the office
• Mentorship program
• Educational, social and team-building activities
• Options course training