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Entry Level Machine Learning Quant Jobs (NOW HIRING)

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$80 - $120/hr

They'll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our environment is fast paced and constantly changing; the right candidate must be able to demonstrate ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

They'll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our environment is fast paced and constantly changing; the right candidate must be able to demonstrate ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ... quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research ...

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 ...

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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 Engineer

Qfanalytics

Miami, FL • On-site

$80 - $120/hr

Other

Posted 16 days ago

Job description

QF Analytics LLC is a fintech company that develops and supports one of the world’s fastest-growing online trading platforms with a monthly trading volume in excess of $11 billion dollars. We are expanding our team aggressively and looking ideally for individuals with trading domain knowledge, who can help develop and support a robust financial trading infrastructure.

The Machine Learning Researcher should be interested in Financial Markets, and will be directly involved in advancing the company’s Data Analysis and Machine Learning capabilities. They’ll be working on cutting edge Quantitative Data Analysis and Machine Learning challenges. Our environment is fast paced and constantly changing; the right candidate must be able to demonstrate strong communication skills, creative solutions, and results-driven behavior in time-sensitive situations.

This opportunity presents an exciting chance for individuals seeking a dynamic work environment. The successful candidate will have the option to work in a hybrid capacity, commuting to offices in Miami, Chicago, Atlanta, Toronto (Canada) or Nassau (Bahamas), fostering a collaborative and engaging atmosphere. Join our team and experience the synergy that comes from working together in person, while also enjoying the flexibility and convenience of working from home a couple days a week.

Responsibilities

Apply strong data modelling and statistical skills to develop and implement data-driven solutions.

Curate and prepare data for supervised and unsupervised machine learning projects, ensuring data quality and compatibility.

Manipulate and analyze large datasets, including numerical and categorical data, using appropriate techniques and tools.

Utilize knowledge of classical machine learning and deep learning algorithms to address specific problem domains.

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications.

Interface with databases to gather relevant information for analysis and modeling.

Fuse and correlate different data feeds to gain insights and enhance predictive capabilities.

Stay updated with the latest advancements in the field of machine learning and artificial intelligence, including tools, conferences, and industry blogs.

Possess a solid understanding of capital markets concepts and quantitative financial methods to effectively apply machine learning techniques in finance-related projects.

Required Qualifications

Master’s Degree in Mathematics, Engineering, Physics or related field;

Proficiency in Python;

Strong understanding of SQL for data manipulation and extraction;

Solid knowledge of probability and statistics to effectively analyze and interpret data;

Knowledge of applied mathematics, including convex optimization, quadratic programming, and partial differential equations;

Proficiency in analyzing and interpreting data, along with the ability to question it and draw meaningful conclusions;

Hands‑on approach and flexibility to apply various methods and techniques to generate actionable ideas;

Proactive, self‑motivated, and team‑oriented mindset, demonstrating strong analytical thinking;

Strong conceptualization, innovation, and problem‑solving skills;

Ability to communicate effectively through verbal and written presentations;

Preferred Qualifications

PhD in Mathematics, Engineering, Physics or related field;

4-8 years experience working in Machine Learning;

Experience with deep learning frameworks like TensorFlow or PyTorch;

Familiarity with C# and .NET framework;

Familiarity with Azure Environments; specifically Azure Data Functions;

Familiarity with Docker initialization and environment management.

What We Have To Offer

Flexible work arrangements when in office (including working from home periodically);

Competitive salaries, often better than industry, for comparable roles;

Daily premium lunch catering, and keeping the office stacked with fruits and snacks;

Arcade, foosball, snooker, pingpong, and fully equipped game room with latest generation gaming consoles on site;

Comprehensive health benefits plan that kicks in after 90 days of successful employment, including access to exclusive employee discounts;

Bonus and incentive programs.

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