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Data & AnalyticsOn-site

Machine Learning Researcher

IMC · On-site

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Last seen by MeritLog September 9, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from IMC's Greenhouse job board and last checked it on September 9, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$250,000 – $300,000
Location
Chicago, United States; New York, United States

Hiring context

How this role compares at IMC

IMC has 175 live roles in MeritLog’s catalog across 10 job families, and 102 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. 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 alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models. Your Core Responsibilities: • Design and deploy 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 • Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources Your Skills and Experience: • PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field • 2+ years of experience building applied ML models; previous experience in trading environment preferred • Proven expertise in developing and deploying predictive models • Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax • Strong understanding of theoretical foundations of state-of-the-art ML models • Strong publication track record at ICML, ICLR, NeurIPS, or equivalent • Ability and desire to work in a collaborative team environment • Excellent written and verbal communication skills 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. Salary Range $250,000-$300,000 USD 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.

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