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Entry Level Machine Learning Quant Jobs (NOW HIRING)

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Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... in quantitative analysis based on data science; 2 years of experience in Python programming ...

Sandbar

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

This role involves developing software and machine learning algorithms for use in human computer ... in quantitative analysis based on data science; 2 years of experience in Python programming ...

IMC

Machine Learning Researcher

Chicago, IL

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 ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Strong interest in quantitative finance * Expert programming skills * Publication record in machine learning or quantitative finance (preferred) * Ability to communicate complex ideas clearly to ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Strong analytical and quantitative problem-solving ability. * Proficient in one or more programming languages such as Python, Java * Strong understanding and working knowledge of distributed systems ...

Vibepilot

Machine Learning Researcher

Manhattan, NY · On-site

$120 - $180/hr

# Machine Learning ResearcherApply For This Role## About The RoleThe Machine Learning Researcher will ... PhD or MS in Computer Science, AI/ML, or a related quantitative field.* Strong publication record ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

Virtu is a quantitative trading firm that uses cutting-edge models and infrastructure to provide liquidity to the global markets. As a Machine Learning Researcher at Virtu, you'll pursue high-impact ...

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Entry Level Machine Learning Quant information

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How much do entry level machine learning quant jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level machine learning quant in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Machine Learning Quant vs Entry Level Data Scientist?

AspectEntry Level Machine Learning QuantEntry Level Data Scientist
Required CredentialsBachelor's in CS, Math, or related; some roles prefer internshipsBachelor's in CS, Stats, or related; often includes certifications
Work EnvironmentFinancial firms, hedge funds, trading firmsTech companies, finance, healthcare, consulting
Employer & Industry UsageFinance, quantitative trading, hedge fundsVarious industries including tech, finance, healthcare
Common Search & Comparison IntentUnderstanding roles in finance and quant tradingExploring data analysis and modeling careers

Entry Level Machine Learning Quants focus on applying machine learning techniques to financial data, often within trading firms and hedge funds. Entry Level Data Scientists work across diverse industries, analyzing data to inform business decisions. While both roles require programming and statistical skills, Quants typically have a finance focus, whereas Data Scientists have broader industry applications.

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Entry Level Machine Learning Quant jobs near you
Infographic showing various Entry Level Machine Learning Quant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Research Intern - Summer 2027 - Chicago

IMC

Chicago, IL • On-site

$300K/yr

Full-time, Temporary, Internship

PTO

Re-posted 20 days ago

Job description

Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10-12 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact.
Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on desk training, while benefiting from professional development and networking opportunities. We offer a highly competitive compensation package, including travel and accommodation. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.
YOUR CORE RESPONSIBILITIES:
  • Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate.
  • Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems
  • Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers
  • Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

YOUR SKILLS AND EXPERIENCE:
  • Pursuing a PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or a related quantitative field and graduating between September 2027 - July 2028
  • 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
  • Must be able to start internship in-person on June 7, 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 global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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