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Machine Learning Testing Jobs in Maryland (NOW HIRING)

Geico

Senior Staff Machine Learning Engineer

Bethesda, MD · Remote

$111.80K - $153.60K/yr

... Machine Learning Engineer to help shape how Generative AI enhances customer and associate ... MLflow/Kubeflow, model registries, feature stores (e.g., Feast), experiment tracking, A/B testing ...

GEICO

Senior Staff Machine Learning Engineer

Bethesda, MD · On-site

$111.80K - $153.60K/yr

... Machine Learning Engineer to help shape how Generative AI enhances customer and associate ... MLflow/Kubeflow, model registries, feature stores (e.g., Feast), experiment tracking, A/B testing ...

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$13

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$30

How much do machine learning testing jobs pay per hour?

As of May 28, 2026, the average hourly pay for machine learning testing in Maryland is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $24.71 per hour, depending on experience, location, and employer.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

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

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.
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Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Maryland as of May 2026, with employment types broken down into 3% As Needed, 82% Full Time, 10% Part Time, 3% Contract, and 2% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,070 per year, or $22.1 per hour.
Staff Machine Learning Engineer - Generative AI

Staff Machine Learning Engineer - Generative AI

Xometry

Gaithersburg, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk.
Responsibilities:
  • Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.
  • Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace.
  • Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction.
  • Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.
  • Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets.
  • Deploy in the cloud - Use AWS and other platforms to train, optimize, and deploy models into production at scale.
  • Collaborate widely - Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.
  • Mentor and grow - Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.
  • Stay ahead - Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.

Qualifications:
  • Bachelor's degree required; advanced degree (M.S. or PhD) in Computer Science, Machine Learning, AI, or related field is a big plus.
  • 5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.
  • Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).
  • Hands-on experience with multimodal data (text, images, 3D).
  • Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).
  • Solid grounding in probability, statistics, and optimization for generative modeling.
  • Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).
  • Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).
  • A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.
  • Background in manufacturing, supply chain, or related industries is a plus - but curiosity and drive matter more.
  • Must be a U.S. Citizen or Green Card holder (ITAR compliance)

The estimated base salary range for new hires into this role is $140,000-$230,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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