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Exempt Machinist Jobs in Silver Spring, MD (NOW HIRING)

Eaton

Machine Operator - 1st Shift

Beltsville, MD · On-site

$20/hr

Eaton's IS AER FED division is currently seeking a Machine Operator - 1st Shift to join our team in ... Active-Duty Military Service member candidates are exempt from the geographical area limitation.

Capital One

Sr Lead Machine Learning Engineer

Mclean, VA · On-site +1

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Sr Lead Machine Learning Engineer

Mclean, VA · On-site +1

Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Sr. Distinguished Engineer

Mclean, VA · On-site

$105K - $145K/yr

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Sr. Distinguished Engineer

Mclean, VA · On-site +1

$105K - $145K/yr

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

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Showing results 21-40

All JobsExempt Machinist JobsExempt Machinist Jobs in Silver Spring, MD

Exempt Machinist information

See Silver Spring, MD salary details

$15

$26

$37

How much do exempt machinist jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for exempt machinist in Silver Spring, MD is $26.50, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $29.57 per hour, depending on experience, location, and employer.

What is an exempt machinist?

Exempt Machinists are skilled workers who operate machine tools to create precision parts, but are classified as 'exempt' employees under labor laws, usually meaning they are salaried and not eligible for overtime pay. The 'exempt' designation typically applies when machinists take on supervisory, managerial, or specialized roles that require advanced expertise or independent judgment. These machinists often oversee production processes, manage teams, or contribute to higher-level planning in manufacturing environments. Their work is essential to producing high-quality components for industries like aerospace, automotive, and manufacturing. The exempt status reflects both their advanced responsibilities and the expectation of fulfilling job duties beyond standard hours.

What is the difference between Exempt Machinist vs Non-Exempt Machinist?

AspectExempt MachinistNon-Exempt Machinist
CredentialsTypically requires technical certifications or licensesMay require similar certifications but often less formal
Work EnvironmentManufacturing plants, machine shops, industrial settingsManufacturing facilities, maintenance shops
Employer UsageUsed in industries with salaried roles, often for skilled machinistsCommon in hourly wage positions in manufacturing
Work Hours & OvertimeUsually salaried, not eligible for overtimePaid hourly, eligible for overtime pay

Exempt Machinists are typically salaried workers with specialized skills, often not eligible for overtime, working in industrial environments. Non-Exempt Machinists are usually hourly workers who qualify for overtime pay. The main difference lies in their pay structure and eligibility for overtime, though both roles require technical skills and certifications.

What are the key skills and qualifications needed to thrive as an exempt machinist, and why are they important?

To thrive as an Exempt Machinist, you need a strong background in precision machining, blueprint reading, and mathematics, usually supported by vocational training or an apprenticeship. Familiarity with CNC machines, CAD/CAM software, and measurement tools like calipers and micrometers is typically required. Attention to detail, problem-solving abilities, and strong communication skills help machinists excel in this role. These competencies ensure the production of high-quality components, minimize errors, and enable effective collaboration in manufacturing environments.

What are the typical daily responsibilities of an exempt machinist and how do they collaborate with engineering teams?

As an Exempt Machinist, your daily responsibilities often include setting up and operating complex machine tools, reading and interpreting blueprints, and ensuring the precision of finished components. You will regularly collaborate with engineering teams to review technical drawings, discuss design adjustments, and provide feedback on manufacturability. Effective communication with both engineers and quality assurance staff is key to resolving production challenges and ensuring products meet tight specifications.
What are the most commonly searched types of Machinist jobs in Silver Spring, MD? The most popular types of Machinist jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Exempt Machinist jobs? Cities near Silver Spring, MD with the most Exempt Machinist job openings:
Exempt Machinist jobs near you
Infographic showing various Exempt Machinist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Temporary. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $55,114 per year, or $26.5 per hour.

Sr. Lead Machine Learning Engineer

Capital One

Mclean, VA • On-site

Full-time

Re-posted 3 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks

Job description

Sr. Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You'll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
  • Retrain, maintain, and monitor models in production
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
  • Use programming languages like Python, Scala, or Java

Basic Qualifications:
  • Bachelor's Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions

Preferred Qualifications:
  • Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • 3+ years of people management experience
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
  • 3+ years of experience building production-ready data pipelines that feed ML models
  • Ability to communicate complex technical concepts clearly to a variety of audiences
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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