Hiring.Camp

Machine Learning Engineer Intern - Summer 2027

Imc

·

Today

Location
New York, United States
Type
Internship
Department
Development (Group)
Seniority
Internship
Source
Greenhouse

Description

Our 10-week internship is your chance to experience life as a Machine Learning Engineer at IMC. You’ll have the support you need to succeed: educational trainings and a mentor who will oversee your work and professional development. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a graduate position at the end of the program.  Where you go from here is up to you!

As a Machine Learning Engineer intern at IMC, you’ll play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC's technology and trading capabilities.

Your Core Responsibilities:

  • Work on meaningful and challenging projects that have the potential to impact our business
  • Participate in classroom-based training covering an overview of financial markets, IMC technology and coding fundamentals
  • Build valuable connections with traders and technologists in an environment that rewards problem solving, innovation and teamwork
  • Engage in professional development sessions aimed at helping you envision your future at IMC
  • Attend a full schedule of events and social activities throughout the summer to get to know your cohort and IMCers

Your Skills and Experience:

  • Current university student graduating between September 2027 - July 2028 that is pursuing a Computer Science, Engineering, or a related technology degree
  • Strong knowledge of algorithms and data structures is required
  • Must have proficient experience in a programming language (C++ or Python preferred)
  • Strong analytical skills and interest in solving complex problems programmatically
  • Desire to collaborate with technical and non-technical teammates in a dynamic environment
  • Interest in the Financial Markets; previous knowledge is NOT required
  • Must be able to start internship on June 7, 2027

You may submit one application per role each year.  We strongly encourage you to focus on applying to a single role that best matches your skills and interests.  Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Base Salary: $200,000

#LI-DNP

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

 

Skills

PythonMachine LearningRisk Management

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