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Machine Learning Researcher Lead

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: IMC Trading
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Artificial Intelligence
Job Description & How to Apply Below
Overview

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems. This role will drive the development of a centralized ML environment to be used across all areas of trading  ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML.

We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and focus on applying a wide range of ML models as well as to perform research on building custom models.

Base pay range

$/yr - $/yr

Your Core Responsibilities
  • Lead the design, development, and deployment of machine learning models to enhance trading performance across various asset classes
  • Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
  • Collaborate with quantitative traders, researchers and developers to translate market insights into data-driven features and models
  • Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
  • Mentor junior researchers and contribute to a culture of research excellence and experimentation
  • Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research
Your Skills and Experience
  • PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
  • 4+ years of experience building applied ML models; previous experience in trading environment preferred
  • Proven expertise in developing and deploying predictive models in low-latency environments
  • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, Tensor Flow, and/or high-performance libraries like Jax
  • Strong understanding of theoretical foundations of state-of-the-art ML models
  • Creative thinking skills and drive to solve challenging problems
  • Ability and desire to work in a collaborative team environment
  • Excellent written and verbal communication skills
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Research
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