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Full Time Machine Learning Finance Jobs (NOW HIRING)

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Q2

Machine Learning Engineer

Cary, NC · On-site

Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities. As a Machine Learning Engineer, you will help build and ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Base Salary Range: $199,000-$331,000 USD What We Offer: Full-time employees are eligible for the ...

Kitware

Machine Learning Engineer

Clifton Park, NY · On-site

Some travel is required, typically 5-25% * Full-time on-site work at the Kitware Office Preferred ... financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great ...

Sonsoft Inc

C# / Machine Learning

Redmond, WA

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen, Green Card Holder, GC ...

Umba

... affordable financial products for emerging markets. Umba launched into the Kenyan market in ... Employment Type: FULL_TIME

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every ... for full-time US employees. 🎯 Ownership: Equity in a fast-growing company 💰 Financial ...

Visa

Director, Machine Learning

Austin, TX · On-site

... financial institutions and government entities across more than 200 countries and territories ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... Adapt techniques from your area of expertise to achieve breakthrough results in the financial ...

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All JobsFull Time Machine Learning Finance Jobs

Full Time Machine Learning Finance information

See salary details

$25K

$92.6K

$135.5K

How much do full time machine learning finance jobs pay per year?

As of Jun 18, 2026, the average yearly pay for full time machine learning finance in the United States is $92,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Machine Learning Finance professional, and why are they important?

To thrive as a Full Time Machine Learning Finance professional, you need a solid background in quantitative analysis, statistics, computer science, and finance, usually supported by a relevant degree. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with financial data systems are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you stand out in this field. These skills ensure the successful development and deployment of data-driven financial models that support better decision-making and risk management.

What is a Full Time Machine Learning Finance job?

A Full Time Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems. Professionals in this role develop predictive models for tasks such as risk assessment, trading strategies, fraud detection, and portfolio optimization. They work closely with financial analysts and data scientists to create solutions that can automate processes, improve decision-making, and identify patterns in large datasets. The role typically requires strong knowledge of both finance and advanced machine learning methods, as well as programming and data analysis skills.

What is the difference between Full Time Machine Learning Finance vs Full Time Data Scientist?

AspectFull Time Machine Learning FinanceFull Time Data Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of finance and machine learning certificationsDegree in Statistics, Computer Science, or related fields; data analysis and programming skills
Work EnvironmentFinancial institutions, hedge funds, banks, fintech companiesTech companies, consulting firms, finance, healthcare, retail
Industry UsageFinance-specific applications like risk modeling, algorithmic tradingBroad industry applications including marketing, healthcare, finance

Full Time Machine Learning Finance roles focus on applying machine learning techniques specifically to financial data and problems within financial institutions. In contrast, Full Time Data Scientist positions have a broader scope across various industries, utilizing data analysis and modeling skills to solve diverse business challenges. While both roles require strong technical skills, the finance-specific role emphasizes financial knowledge and applications.

What are some common challenges faced by machine learning professionals working in the finance sector?

Machine learning professionals in finance often encounter challenges such as dealing with sensitive and highly regulated data, ensuring model transparency and explainability for compliance purposes, and adapting to rapidly changing market conditions. Additionally, integrating machine learning models with existing financial systems and collaborating closely with domain experts, such as quantitative analysts and risk managers, are key parts of the role. Staying updated on both technological advancements and regulatory changes is also essential for success in this dynamic environment.
More about Full Time Machine Learning Finance jobs
What cities are hiring for Full Time Machine Learning Finance jobs? Cities with the most Full Time Machine Learning Finance job openings:
What are the most commonly searched types of Machine Learning Finance jobs? The most popular types of Machine Learning Finance jobs are:
What states have the most Full Time Machine Learning Finance jobs? States with the most job openings for Full Time Machine Learning Finance jobs include:
What job categories do people searching Full Time Machine Learning Finance jobs look for? The top searched job categories for Full Time Machine Learning Finance jobs are:
Full Time Machine Learning Finance jobs near you
Infographic showing various Full Time Machine Learning Finance job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,631 per year, or $44.5 per hour.
Machine Learning Engineer Intern

Machine Learning Engineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Full-time, Internship

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description:
The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).
Job Description and Responsibilities:
We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
  • Evidence in delivering high-impact projects either in academia or industry
  • Prior experience designing and building Machine Learning models
  • Deep understanding of machine learning concepts and fundamentals
  • Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
  • Excellent communication and collaboration skills
  • Strong coding skills, with a focus on clean, efficient, and scalable code development

Preferred Qualifications:
  • Experience working with time series or unstructured data

Expected Compensation:
The anticipated hourly rate for this position is listed below.
California Hourly Rate:
$35/Hr USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
  • An opportunity to change the world and work with some of the smartest and most talented experts from different fields
  • Growth potential; we rapidly advance team members who have an outsized impact
  • Excellent medical, dental, and vision insurance through a PPO plan
  • Paid holidays
  • Commuter benefits
  • Meals provided
  • Equity (RSUs) *Temporary Employees & Interns excluded
  • 401(k) plan *Interns initially excluded until they work 1,000 hours
  • Parental leave *Temporary Employees & Interns excluded
  • Flexible time off *Temporary Employees & Interns excluded

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