ZipRecruiter

Log In

1

Machine Helper Jobs in Pasadena, MD (NOW HIRING)

ST Engineering

Sr. Machine Operator

Baltimore, MD · On-site

$19.25 - $26.25/hr

A machine operator must have excellent attention to detail and possess a working knowledge of tool ... We are looking for people with innovative ideas and the drive to help us grow into the future. A ...

U.S. Coast Guard

Ordnance Equipment Helper

Glen Burnie, MD · On-site +1

$24.50 - $28.58/hr

MK 75 Gun Weapon System, MK 38 Mod1, 2, and 3 Machine Gun System, and MK 92 Fire Control Systems ... Requirements Help Conditions of employment All qualification requirements must be met by the ...

previous pagenext page

Showing results 21-40

All JobsMachine Helper JobsMachine Helper Jobs in Pasadena, MD

Machine Helper information

See Pasadena, MD salary details

$11

$17

$22

How much do machine helper jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine helper in Pasadena, MD is $17.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $19.52 per hour, depending on experience, location, and employer.

What is a machine helper?

Machine Helpers are workers who assist machine operators in manufacturing or production settings. They are responsible for supporting the setup, operation, and maintenance of machinery, as well as ensuring materials are loaded correctly and finished products are removed efficiently. Their duties often include cleaning equipment, monitoring machine performance, and helping with minor repairs or adjustments. Machine Helpers play a vital role in keeping production lines running smoothly and safely.

What are the key skills and qualifications needed to thrive as a machine helper, and why are they important?

To excel as a Machine Helper, you need basic mechanical aptitude, physical stamina, and a high school diploma or equivalent. Familiarity with manufacturing machinery, safety protocols, and possibly forklift or OSHA certifications is typically required. Attention to detail, teamwork, and reliability are important soft skills for this role. These skills and qualifications ensure safe and efficient machine operation, minimize downtime, and contribute to a productive work environment.

What are some common challenges faced by machine helpers in a manufacturing environment and how can they be addressed?

Machine Helpers often encounter challenges such as keeping up with fast-paced production lines, handling repetitive tasks, and ensuring safety around heavy machinery. To address these, it's important to stay attentive, follow safety protocols, and communicate effectively with machine operators and supervisors. Developing good organizational habits and being proactive about machine maintenance can also help prevent breakdowns and maintain efficiency. Training and teamwork are key for overcoming these challenges and ensuring a smooth workflow.

What is the difference between Machine Helper vs Machine Operator?

AspectMachine HelperMachine Operator
Required CredentialsHigh school diploma or equivalent; on-the-job trainingHigh school diploma; often additional certifications or training
Work EnvironmentFactories, manufacturing plants, construction sitesFactories, manufacturing plants, industrial settings
Employer & Industry UsageCommonly employed in manufacturing and constructionPrimarily in manufacturing, production, and industrial sectors
Job ResponsibilitiesAssist machine operators, prepare materials, perform basic maintenanceOperate machinery, monitor production, ensure safety and quality

In summary, a Machine Helper assists Machine Operators by preparing materials and performing basic tasks, while Machine Operators are responsible for running and managing machinery. Both roles are essential in manufacturing environments but differ in responsibilities and required skills.

What cities near Pasadena, MD are hiring for Machine Helper jobs?

Cities near Pasadena, MD with the most Machine Helper job openings:

Machine Helper jobs near you
Infographic showing various Machine Helper job openings in Pasadena, MD as of June 2026, with employment types broken down into 54% Full Time, 33% Part Time, 3% Temporary, 5% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $36,843 per year, or $17.7 per hour.

Machine Learning Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 75 rated research

Job description

Description
Do you have demonstrated machine learning experience and want to apply that experience to solving a wide variety of complex problems in this rapidly evolving field?
Do you thrive in a collaborative research environment, working alongside an energetic, multidisciplinary team of scientists and engineers?
Are you ready to help the US secure and maintain leadership in the development and deployment of AI/ML algorithms for non-kinetic defense systems?
If so, we're looking for someone like you to join our team at APL!
We are seeking an experienced Machine Learning Engineer who will contribute to all phases of the machine learning algorithm development and implementation. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges.
As a Machine Learning Engineer, you will...
  • Design, implement, and evaluate advanced machine learning algorithms to solve challenging real-world planning, perception, coordination, and control problems in support of national defense.
  • Develop software pipelines to integrate data streams, simulation environments, and intelligent decision-making algorithms.
  • Work with technologies and concepts at the cutting edge of AI, including but not limited to: deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-based modeling and simulation tools.
  • Collaborate closely with the talented team of scientists and engineers in our group and with others across APL.
  • Engage directly with sponsors to communicate proposed concepts, solutions, and analysis.

Qualifications
You meet the minimum requirements for the job if you...
  • Have a Bachelor's degree in Mathematics, Physics, Engineering, Computer Science, or a related field.
  • Have at least 2+ years of experience in machine learning and data science fields.
  • Have at least one year of hands-on experience applying/developing machine learning algorithms using common libraries such as PyTorch or TensorFlow.
  • Have strong foundational knowledge in at least two of the following: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, or optimization/control theory.
  • Have demonstrated experience in working with version control software like Git.
  • Have strong, effective communication skills both verbal and written.
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You 'll go above and beyond our minimum requirements if you...
  • Have an MS in Mathematics, Physics, Engineering, Computer Science, or a related field.
  • Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of datasets.
  • Have proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems.
  • Have hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
  • Have experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal.
  • Are comfortable working in high performance computing environments (GPU/CPU clusters).
  • Have proficiency in one or more of the following technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.
  • Have a track record of writing deployable, production-level code (Python, C/C++) for real-world applications.

#LI-KW1
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$100,000 Annually
Maximum Rate
$245,000 Annually

What Johns Hopkins Applied Physics Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply