DRW

DRW

DRW is a diversified trading firm that leverages technology and risk management to identify and capture global trading and investment opportunities across a wide range of asset classes and markets.

Capital Markets
1K-5K
Founded 1992

Description

  • Design and implement large-scale deep learning models for computer vision, reinforcement learning, graph neural networks, or related areas.
  • Improve data infrastructure and data pipelines.
  • Work on time series forecasting problems.
  • Apply deep learning methods to telemetry data from intelligent devices.
  • Collaborate closely with other researchers to solve challenging AI and machine learning problems.
  • Develop innovative AI solutions and help choose the right tools for the work.
  • Contribute to projects that may include developing large language models (LLMs).

Requirements

  • Pursuing a master’s degree, or a PhD preferred, in a technical discipline focused on machine learning, deep learning, or NLP.
  • Graduating between December 2027 and June 2028.
  • Strong 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, and scikit-learn.
  • Experience programming in Python.
  • Experience with scripting.
  • Strong communication skills to present ideas clearly and concisely to the team.
  • Positive, team-oriented attitude.
  • Software best practices experience such as agile development, version control, experiment tracking, and code review is a plus.
  • Publications in relevant conferences and journals are a plus.

Benefits

  • Immediate responsibility and mentorship from industry-leading experts.
  • Robust training program to support intern success.
  • Meaningful project work with challenging assignments advised by a software engineer.
  • Education through an options course framed from a developer’s standpoint.
  • Fully furnished housing apartments close to the office.
  • Summer community activities, including educational, social, and team-building events.
  • Professional development support through mentor meetings and mentor outings.

Interested in this position?

Apply directly on the company website

Apply Now

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