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Internship Machine Learning Startup Jobs in Illinois

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Capital One

Lead Machine Learning Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Unchain Data

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

The Role Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer ... Experience as an early or sole ML hire at a startup * Exposure to real-time or near-real-time fraud ...

SOLANA FOUNDATION

Machine Learning Lead

Chicago, IL · On-site

$175K - $235K/yr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Experience as an early or sole ML hire at a startup * Exposure to real-time or near-real-time fraud ...

Coinflow

Machine Learning Lead

Chicago, IL · On-site

$225K - $275K/yr

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the ... Experience as an early or sole ML hire at a startup * Exposure to real-time or near-real-time fraud ...

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All JobsMachine Learning Startup JobsInternship Machine Learning Startup JobsInternship Machine Learning Startup Jobs in Illinois

Internship Machine Learning Startup information

What is the difference between Internship Machine Learning Startup vs Data Science Intern?

AspectInternship Machine Learning StartupData Science Intern
Required CredentialsBasic programming, statistics, coursework in MLSimilar; often includes coursework in data analysis and statistics
Work EnvironmentFast-paced startup, collaborative teamsVaries; startups or corporate settings, collaborative
Industry UsageCommon in tech startups focusing on AI/ML productsWidespread across tech, finance, healthcare
Search & Comparison IntentInterested in ML-specific roles in startupsLooking for data analysis or data science internships

Internship Machine Learning Startup roles focus on applying ML techniques in startup environments, often requiring programming and statistical skills. Data Science Internships may encompass broader data analysis tasks across various industries. Both roles share similar credentials and work environments, but ML internships are more specialized in machine learning applications within startups.

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The most popular types of Machine Learning Startup jobs in Illinois are:

What are popular job titles related to Internship Machine Learning Startup jobs in Illinois?

For Internship Machine Learning Startup jobs in Illinois, the most frequently searched job titles are:

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The top searched job categories for Internship Machine Learning Startup jobs in Illinois are:

Internship Machine Learning Startup jobs near you

Graduate Machine Learning Researcher - Chicago

Chicago, IL • On-site

IMC
See more jobs at IMCexternal

$300K/yr

Full-time

PTO

Re-posted 13 days ago

Key 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

  • Collaborate closely with traders, researchers, and engineers to translate research into production trading systems

Job description

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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