Machine Learning Engineer Intern - Summer 2027

Greenhouse Software, Inc.; New York (NY); On-site; USD 35,000 - 55,000; Full time

Benefits offered by this job

Educational trainings

Mentor support

Accommodations included

Graduate position opportunity

Job summary

IMC in New York invites a 10-week Machine Learning Engineer internship to participate in building systems that train and deploy large-scale ML models. You will work with researchers, hardware experts and software engineers to accelerate GPU-accelerated experimentation and trading-focused innovation.

You will receive classroom trainings and mentorship, with a path to a graduate position based on performance.

Qualifications

• Current university student graduating Sep 2027 – Jul 2028 pursuing CS/Engineering or related tech degree.
• Strong knowledge of algorithms and data structures.
• Proficient experience in a programming language (C++ or Python).
• Must be able to start internship on Jun 7, 2027.

Responsibilities

• Work on meaningful and challenging projects that have potential to impact our business.
• Participate in classroom-based training covering overview of financial markets, IMC tech and coding fundamentals.
• Build valuable connections with traders and technologists in a collaborative environment.
• Engage in professional development sessions to help envision your future at IMC.
• Attend a full schedule of events and social activities to get to know your cohort and IMCers.

Skills

Algorithms & DS

C++ / Python

Analytical thinking

Team collaboration

Finance interest

Education

Pursuing CS/Engineering degree

Job description

New York, United States

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.

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.

At IMC, we understand the importance of diversity, equity and inclusion, and are committed to continually improving this in our recruitment process. As part of our commitment, we have added an additional question below, to better understand our candidates, and focus our marketing, sourcing and interviewing efforts, to ensure equitable outcomes. This question is voluntary, and the information you provide will only be used for the purpose stated above and will not be shared with interviewers in the application process. If you do not wish to provide a response to the question, there will be no adverse impact on your application.