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Entry Level Machine Learning Quant Jobs (NOW HIRING)

Quantitative research experience, including rigorous analytical design and interpretation. * Experience as a Machine Learning Engineer, Data Scientist, or Applied AI professional contributing to ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Strong analytical and quantitative problem-solving ability. Excellent communication, relationship ...

Position: 2026 Machine Learning Engineer Req ID: Pending Location: San Jose Our Company Changing ... Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship ...

$4.5K - $5.8K/wk

At Citadel Securities, a leading global market maker, our team of quantitative researchers models ... Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning ...

$4.5K - $5.8K/wk

At Citadel Securities, a leading global market maker, our team of quantitative researchers models ... Specifically, the goal of this team is to leverage and tailor the state-of-the-art machine learning ...

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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 Sep 13, 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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Infographic showing various Entry Level 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, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Machine Learning Engineer

Remote

Full-time

Re-posted 17 hours ago


Job description

Job Summary:
Intelliswift, an LTTS Company, is seeking a Machine Learning Engineer to work closely with AI and imaging scientists on various machine learning projects. The role involves collaborating with clients and data engineers to develop end-to-end machine learning and data pipelines.
Responsibilities:
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
Required:
• MS or PhD in a quantitative field (​e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Preferred:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with ​​development tools for experiment tracking, dataset versioning, and model management in machine learning.
Company:
"Intelliswift, an LTTS Company, delivers world-class Digital Product Engineering, Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T Technology Services, Ltd.. Founded in 2001, the company is headquartered in Newark, USA, with a team of 1001-5000 employees. The company is currently Late Stage.