ApplySarthiGraduate Machine Learning Researcher - Chicago
IMC
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263 open researcher roles across 87 companies are on ApplySarthi right now, most of them in Bengaluru (9), Mumbai (2), Delhi NCR (2).
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- Doctoral Researcher in election data (SDC-35)GESIS – Leibniz-Institut für Sozialwissenschaften
What researcher roles keep asking for: Python (35%), Machine learning (23%), C++ (19%) — counted across their open postings here.
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IMC has 175 open roles listed here.
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Preparing for this interview
Interviews for researcher roles keep coming back to Python, Machine learning, C++. Practise those questions before you sit with IMC.
Questions you are likely to be asked
- Why do you want to join IMC?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Graduate Machine Learning Researcher - Chicago at IMC interview free →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
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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Listed on greenhouse · posted 2026-07-01. ApplySarthi collects openings and links to application pages; the role is advertised by IMC, not by us.