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Machine Learning Finance Jobs in Maryland (NOW HIRING)

Senior Machine Learning Engineer

Bowie, MD

$118.30K - $155.90K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and ...

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Showing results 1-20

Machine Learning Finance information

See Maryland salary details

$24.3K

$89.9K

$131.5K

How much do machine learning finance jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning finance in Maryland is $89,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $105,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Finance job?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in Machine Learning Finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.
What are the most commonly searched types of Machine Learning Finance jobs in Maryland? The most popular types of Machine Learning Finance jobs in Maryland are:
What are popular job titles related to Machine Learning Finance jobs in Maryland? For Machine Learning Finance jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Maryland look for? The top searched job categories for Machine Learning Finance jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Finance jobs? Cities in Maryland with the most Machine Learning Finance job openings:
Infographic showing various Machine Learning Finance job openings in Maryland as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,903 per year, or $43.2 per hour.
Machine Learning Engineering Intern

Machine Learning Engineering Intern

AeroVironment

Germantown, MD • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Worker Type

Supplemental


Job Description

At AV, we understand that a valuable internship should provide meaningful learning and real-world experience. Our Summer Internship Program offers students the opportunity to work alongside experienced engineers and scientists, gaining hands-on exposure to the technologies and challenges that drive our industry. Interns contribute directly to active projects, developing practical skills and building professional relationships in a collaborative environment as a valued member of the team.

Our internship program is small and highly selective, ensuring that each intern receives personalized mentorship and opportunities to engage deeply with our finance, accounting, and executive teams. We're seeking motivated students with an interest in machine learning, data collection, data processing, algorithm optimization, and pipeline integration.

Responsibilities

  • Work with a team of engineers, scientists, and project managers.
  • Perform technology research, including trade studies and comparative analysis.
  • Assist in developing data balancing plans and data collection plans.
  • Assist with data collection event execution.
  • Integrate machine learning algorithms into data processing pipelines.
  • Optimize machine learning algorithms.

Requirements

  • Must be a high school graduate.
  • Must be a US Citizen.
  • Currently enrolled or recently completed post-secondary program in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • Willing and able to work on-site at the Germantown, MD AV office for the duration of the internship.
  • Possess strong written and verbal communication skills.
  • Strong background and interest in one or more of: software development, embedded software development, software testing, data analysis.

Desired Skills

We are looking to hire multiple interns to support a variety of projects, so experience in any of the following areas is desired:

  • Understanding of key concepts in:
    • Machine learning
    • Computer vision
    • Mathematical optimization
    • Data mining
    • Data balancing
    • Predictive analytics
  • Experience with integrating machine learning algorithms into larger processes and systems.
  • Exposure to deep learning frameworks (e.g., TensorFlow, Keras)
  • Skills with data visualization and large dataset management.
  • Competency in unit testing and debugging.
  • Familiarity with GitHub and/or GitLab.
  • Proficiency with object-oriented programming (e.g. Java, JavaScript, C++, Python) with the ability to write clean, well-documented code.
  • Experience in software test design and integration.
  • Competency in data analysis and visualization tools such as Excel or MATLAB.
  • Participation in extracurricular student engineering competitions.


Clearance Level

No Clearance

The salary range for this role is:

$0 - $0

AeroVironment considers several factors when extending an offer, including but not limited to, the location, the role and associated responsibilities, a candidate's work experience, education/training, and key skills.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A "U.S. person" according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

About AV:

AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.

We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve.

Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next.

If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR

U.S. Citizenship required