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Machine Learning Quant Jobs (NOW HIRING)

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Quant Blueprint LLC

Machine Learning Developer

Manhattan, NY · On-site

$225 - $275/hr

Our Quantitative Systematic Traders combine the skills of quantitative research with the knowledge ... Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and ...

New

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

D. in Computer Science, Mathematics, EE, Physics, or a related quantitative field with a focus on Scientific Machine Learning (SciML). * Deep Learning Frameworks: 4+ years of expert-level experience ...

Trading Interview

$150 - $230/hr

As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of ... SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous ...

New

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

THE OPPORTUNITY As a machine learning engineer, you will have the opportunity to learn and apply ... Creatively design solutions to analytical problems using quantitative and qualitative approaches to ...

Revenue Management Solutions

Machine Learning Engineer

Tampa, FL · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

THE OPPORTUNITY As a machine learning engineer, you will have the opportunity to learn and apply ... Creatively design solutions to analytical problems using quantitative and qualitative approaches to ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

  • Medical

  • Dental

  • Vision

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Familiarity with quantitative investing, portfolio construction, or risk management * Experience ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Citadel

Machine Learning Engineer

Miami, FL · On-site

Our teams of engineers, traders and researchers harness leading-edge quantitative research and the accelerating power of compute, machine learning and AI to power our analytics and tackle the market ...

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Machine Learning Quant information

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$52.5K

$119.2K

$196.5K

How much do machine learning quant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a machine learning quant?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

What are typical daily responsibilities for a machine learning quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the key skills and qualifications needed to thrive as a machine learning quant?

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

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Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Machine Learning Researcher

IMC Trading

Chicago, IL • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
IMC Trading is a global trading firm seeking quantitative researchers to apply state-of-the-art machine learning and deep learning to solve challenging trading problems. The role involves designing and deploying machine learning models, collaborating with trading teams, and managing data for enhanced trading performance.
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
Qualifications:
Required:
• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 2+ years of experience building applied ML models
• 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
Preferred:
• previous experience in trading environment
Company:
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Founded in 2022, the company is headquartered in Klein Amsterdam, NLD, with a team of 1001-5000 employees. The company is currently Late Stage.

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