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Entry Level Machine Learning Quant Jobs (NOW HIRING)

PayPal

Machine Learning Engineer

Austin, TX

This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

PayPal

Machine Learning Engineer

Chicago, IL

This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems ... Conduct quantitative and qualitative model validation according to Model Risk Management Policy to ...

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

$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 ...

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 ...

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... quantitative insights * Collaborate closely with architects, project managers, data engineers ...

New

Stefanini Group

Machine Learning Engineer

Dearborn, MI · On-site

Stefanini is looking for a Machine Learning Engineer(Dearborn, MI) For quick apply, please reach ... quantitative insights * Collaborate closely with architects, project managers, data engineers ...

New

AJ Rose

2nd shift Machine Operator

Avon, OH · On-site

$17.07 - $21.66/hr

Kickstart Your Manufacturing Career! Entry-Level Machine Operator Looking to get your foot in the ... Enjoys learning new equipment * Takes pride in quality work Apply today and start building a career ...

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

Machine Learning Engineer

San Jose, CA

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 ...

Fastenal Company

Entry-Level Machinist

Houston, TX · On-site

$14 - $17/hr

Entry-Level Machinist 15009 Lee Rd, Houston, TX 77032 TX280 Manufacturing Facility Full-time Shift ... Learning machine operation and capabilities of multiple machines o Running multiple pieces of ...

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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 Jul 10, 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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically require specialized skills and often a degree, but some freelance data science or AI consulting jobs can pay $4,000 a week with strong expertise and a solid portfolio. High-paying roles without formal degrees usually involve self-taught skills, certifications, or experience in programming, data analysis, or AI tools, often in freelance or contract work environments.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers or data scientists working in finance, technology, or hedge funds can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills in algorithms, programming, and data analysis, along with significant industry experience and often advanced degrees.

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.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in large tech companies or finance firms. These positions usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, technical expertise, and the impact of AI solutions on business outcomes.

Do entry level machine learning jobs exist?

Yes, entry-level machine learning roles are available for candidates with foundational skills in programming, statistics, and data analysis. These positions often require knowledge of tools like Python, TensorFlow, or scikit-learn and may involve internships or junior data scientist roles to gain experience in the field.
More about Entry Level Machine Learning Quant jobs
What cities are hiring for Entry Level Machine Learning Quant jobs? Cities with the most Entry Level Machine Learning Quant job openings:
What are the most commonly searched types of Machine Learning Quant jobs? The most popular types of Machine Learning Quant jobs are:
What job categories do people searching Entry Level Machine Learning Quant jobs look for? The top searched job categories for Entry Level Machine Learning Quant jobs are:
Entry Level Machine Learning Quant jobs near you
Infographic showing various Entry Level Machine Learning Quant job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Required Experience:
  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
  • Strong programming skills in at least one of the following languages Python, Matlab, C++
  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:
  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
  • A mathematical background (Probability and Statistics)
  • An experienced grasp of version control using Git for nonlinear workflows
  • Thorough understanding of working in research, development and production environments
  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
  • R&D on remotely sensed data to include modeling and development of algorithms.
  • Ability to work independently or in a team environment
  • Strong technical writing and oral communication skills
  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Apply