IMC Trading Logo

IMC Trading

Graduate Machine Learning Researcher - Chicago

Reposted 13 Days Ago
Hybrid
Chicago, IL
300K-300K Annually
Entry level
Hybrid
Chicago, IL
300K-300K Annually
Entry level
Develop, evaluate, and deploy machine learning models for real trading environments; apply rigorous statistical techniques to measure performance, control overfitting, and assess model risk and interpretability; collaborate with traders and developers; maintain best practices and production-ready systems.
The summary above was generated by AI
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
  • Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
  • Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
  • Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
  • Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Your Skills and Experience:
  • PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
  • Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
  • Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
  • Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
  • Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
  • Ability to commence full-time employment in February or August 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: $300,000

Similar Jobs at IMC Trading

4 Hours Ago
Hybrid
155K-225K Annually
Expert/Leader
155K-225K Annually
Expert/Leader
Fintech • Machine Learning • Software • Financial Services
Design, implement, and support a high-performance networking environment while collaborating with traders and developers to enhance network operations.
Top Skills: AnsibleAwxBashBgpPim-SmPython
4 Hours Ago
Hybrid
New York, NY, USA
175K-225K Annually
Junior
175K-225K Annually
Junior
Fintech • Machine Learning • Software • Financial Services
Design and develop low latency, high-performance trading systems. Optimize code and solutions for hardware efficiency, ensuring seamless application integration.
Top Skills: C++
4 Hours Ago
Hybrid
130K-215K Annually
Mid level
130K-215K Annually
Mid level
Fintech • Machine Learning • Software • Financial Services
As a Trading Engineer, you will troubleshoot and resolve technical issues, monitor system performance, develop automation tools, and collaborate to improve trading systems.
Top Skills: BashCentosKubernetesMongoDBPrometheusPythonRhelRocky LinuxSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account