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Freelance Machine Learning Quant Jobs (NOW HIRING)

Evaluating machine learning and AI solutions through quantitative validation, performance monitoring, accuracy measurement, and scalability testing. * Designing and implementing scalable data ...

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

$4.5K - $5.8K/wk

Machine Learning Researchers play a key role in this mission by developing next-generation models ... You'll get to challenge the impossible in quantitative research by applying sophisticated and ...

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 ...

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Freelance Machine Learning Quant information

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How much do freelance machine learning quant jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for freelance machine learning quant in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

AspectFreelance Machine Learning QuantFreelance Data Scientist
CredentialsStrong background in quantitative finance, mathematics, and machine learningBackground in statistics, data analysis, and programming; often less finance-specific
Work EnvironmentFinancial firms, hedge funds, or independent consulting in financeVarious industries including tech, healthcare, marketing, and finance
Industry UsagePrimarily in finance and trading

Freelance Machine Learning Quants focus on applying machine learning techniques to financial markets, often working with trading strategies and risk models. Freelance Data Scientists have a broader scope, working across multiple industries to analyze data, build predictive models, and generate insights. While both roles require strong technical skills, the finance-specific knowledge distinguishes the Freelance Machine Learning Quant from the Freelance Data Scientist.

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Infographic showing various Freelance Machine Learning Quant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Machine Learning Scientist

Manhattan, NY โ€ข On-site

Columbia University Irving Medical Center
Colleges, Universities, and Professional Schoolsย โ€ขย 201 - 500 employees

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Columbia University Irving Medical Center is seeking a Machine Learning Scientist focused on deep learning models for biomolecular systems and drug discovery. The role involves developing neural network architectures, designing active learning experiments, and collaborating with team members and industry partners.
Responsibilities:
โ€ข Design and train state-of-the-art neural network architectures for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles.
โ€ข Design active learning algorithms and experiments to steer large-scale data acquisition campaigns focused on improving biomolecular models.
โ€ข Devise experiments to understand scaling behavior of biomolecular models.
โ€ข Curate and prepare datasets, and develop dataset processing algorithms, for in-acquisition and proprietary datasets, including in federated training settings.
โ€ข Develop new ideas, write code, run experiments, analyze data, and prepare reports.
โ€ข Be an active member of one or more highly collaborative teams.
โ€ข Stay current with the ultrafast-paced nature of biomolecular machine learning.
โ€ข Maintain and enhance external visibility through publishing papers, writing open-source code, and engaging with the scientific community.
Qualifications:
Required:
โ€ข M.S. in computer science / machine learning, computational biology, or related quantitative fields plus five years of related experience, or equivalent combination of education/experience.
Preferred:
โ€ข Ph.D. in computer science / machine learning, computational biology, or related quantitative fields.
โ€ข Extensive machine learning experience, including design, training, and deployment of complex neural architectures.
โ€ข Extensive programming experience in Python.
โ€ข Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively in cross-functional teams.
Company:
Columbia University Irving Medical Center is a clinical and educational enterprise that offers medical, dental, and nursing services. It is a sub-organization of Columbia University. Founded in 1767, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.