ML Engineer Intern - Build AI for Trading at Scale

IMC

New York (NY)

On-site

USD 35,000 - 55,000

Full time

7 days ago
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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

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.

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