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Quantitative Finance Machine Learning Engineer Jobs

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Master's degree in Computer Science, Statistics, Data Science, or related quantitative field plus ... Secure your financial future through competitive pay, retirement planning, a continuing education ...

Rapidtrade

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help ... Collaborate with quantitative analysts to translate trading strategies into ML systems * Optimize ...

Susquehanna

Explore various aspects of machine learning in quantitative finance from alpha generation and ... engineers, and traders to design and deploy impactful strategies in our systematic trading ...

Forhyre

Machine Learning Engineer

New York, NY · On-site

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Booz Allen Hamilton

Machine Learning Engineer

Aurora, CO · On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Machine Learning Engineer The Opportunity: As a programmer, you know that machine learning is ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

... Street as a Machine Learning Engineer while also providing a truly unparalleled educational ... About You If you've never thought about a career in finance, you're in good company. Many of us ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

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

Adobe

Machine Learning Engineer

San Jose, CA · On-site

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

SupportFinity™

Machine Learning Engineer

Boston, MA · On-site

... quantitative predictions necessary to drive drug discovery. Beyond technical mastery, you will ... D. preferred in Computer Science, Machine Learning, Engineering or a related field, or BS/MS ...

Kindredventures

Machine Learning Engineer

Seattle, WA · On-site

$120K - $140K/yr

About us Today's financial system is built to favor those with money. Grid's mission is to level ... The role We're adding an Machine Learning Engineer to our team to help us build and scale our core ...

New

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Quantitative Finance Machine Learning Engineer information

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How much do quantitative finance machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantitative finance machine learning engineer in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Quantitative Finance Machine Learning Engineer jobs?

For Quantitative Finance Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Finance Machine Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $129,666 per year, or $62.3 per hour.

Machine Learning Engineer

Beavercreek, OH • On-site

Radiance Technologies
See more jobs at Radiance Technologiesexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 hours 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.

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