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Machine Learning Additive Manufacturing Jobs (NOW HIRING)

ATI

Additive Manufacturing Technician

Margate, FL · On-site

Collaborate with other team members to coordinate schedules for any machine-required maintenance ... Must have at least 1 year of additive manufacturing experience or 7yrs of experience in aerospace ...

Blue Origin

Technician - Additive Manufacturing

Seattle, WA

$22.89 - $32.04/hr

... Additive Manufacturing machine set up, operation, monitoring and build to build change over as well ... These machine and processing equipment support Blue Origin's various spaceflight systems. You will ...

ATI

Additive Manufacturing Technician

Margate, FL

Collaborate with other team members to coordinate schedules for any machine-required maintenance ... Must have at least 1 year of additive manufacturing experience or 7yrs of experience in aerospace ...

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How much do machine learning additive manufacturing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for machine learning additive manufacturing in the United States is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $28.85 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Machine Learning for Additive Manufacturing, and how can they be addressed?

Professionals in Machine Learning for Additive Manufacturing often face challenges such as handling large and complex datasets, ensuring data quality, and integrating machine learning models with existing manufacturing systems. Another common hurdle is bridging the gap between domain expertise in manufacturing and technical knowledge in machine learning. These challenges can be addressed by fostering strong cross-disciplinary collaboration, staying updated with industry developments, and leveraging robust data management and validation practices. Continuous learning and effective communication with engineering and production teams are key to overcoming obstacles and driving innovation in the field.

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

To thrive in Machine Learning Additive Manufacturing, you need a solid background in engineering or computer science, strong understanding of additive manufacturing processes, and expertise in machine learning algorithms. Familiarity with programming languages (such as Python), CAD software, data analysis tools, and relevant certifications (like Six Sigma or AWS Machine Learning) is highly beneficial. Creativity, problem-solving, and effective collaboration are crucial soft skills for innovating and optimizing manufacturing workflows. These skills ensure efficient integration of advanced technologies, improve production quality, and drive innovation in a rapidly evolving industry.

What is the difference between Machine Learning Additive Manufacturing vs 3D Printing Technician?

AspectMachine Learning Additive Manufacturing3D Printing Technician
CredentialsTypically requires a degree in engineering, computer science, or related fields; knowledge of machine learning and additive manufacturingUsually has technical certifications or vocational training in 3D printing technologies
Work EnvironmentResearch labs, manufacturing facilities, or R&D departments involving software development and process optimizationManufacturing floors, workshops, or labs operating 3D printers and performing maintenance
Industry UsageUsed in advanced manufacturing, aerospace, automotive, and research sectors integrating AI and additive processesCommonly employed in prototyping, small-scale production, and maintenance in manufacturing industries

Machine Learning Additive Manufacturing focuses on integrating AI and machine learning techniques to optimize 3D printing processes, while 3D Printing Technicians operate and maintain 3D printers for production and prototyping. Both roles are essential in modern manufacturing but differ in technical complexity and focus areas.

What is a Machine Learning Additive Manufacturing Engineer?

A Machine Learning Additive Manufacturing Engineer is a professional who applies machine learning techniques to optimize and improve 3D printing (additive manufacturing) processes. This role involves analyzing data from 3D printers, creating predictive models, and developing algorithms to enhance product quality, reduce errors, and increase efficiency. These engineers often work closely with material scientists, mechanical engineers, and software developers to innovate in manufacturing workflows, automate quality control, and enable smarter production lines.
Infographic showing various Machine Learning Additive Manufacturing job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $57,494 per year, or $27.6 per hour.
Additive Manufacturing Scientist

Additive Manufacturing Scientist

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 56 rated research

Job description

Description
Are you passionate about leading teams inventing new technologies to track materials synthesis to tackle unique problems?
Are you motivated to chart a course for additive manufacturing research that addresses our nation's most pressing challenges?
If so, we're looking for someone like you to join our team at APL!
We are seeking an Additive Manufacturing Scientist to work closely with APL's team of experts to the shape and implement the vision and strategy for APL's AM research. Our team conducts groundbreaking AM research ranging from multiscale modeling and simulation, to performing the underlying science to enable qualification and certification, to development of new sensing and visualization processes to monitor and detect attributes of the AM process and visualize in 3D to enable next generation designs for space, air, land and sea-based applications.
As our government sponsors continue to present exciting and urgent national challenges, you will drive idea generation and solution development via research vision, leveraging APL's entire portfolio of innovative research. The team needs a research visionary and champion who can drive toward collaborative solutions for cross-cutting research challenges, partnering with a multidisciplinary team. At APL, we strive to foster a collaborative environment with world-class expertise that achieves groundbreaking impact. Our APL team values integrity and innovative ideas that will ensure our nation's preeminence in the 21st century.
As an Additive Manufacturing Scientist you will...
  • Perform pioneering materials and process characterization research driven by mission needs for qualified hardware leveraging state-of-the-art manufacturing equipment.
  • Integrate with the APL's team to increase the impact of an already successful additive manufacturing programs centered on materials discovery, in-situ sensing, multiscale modeling, and qualification science.
  • Contribute to the design and fabrication of operational additively manufactured prototypes which have global impact.
  • Work with APL program managers to identify critical national challenges that can be solved with additive manufacturing.
  • Push the boundaries of manufacturing science to unlock new manufacturing processes which will have a lasting impact on our nation.
  • Present technical work internally and externally. You will communicate daily with project teams and leadership to support programmatic needs.

Qualifications
You meet our minimum qualifications for the job if you...
  • Possess a M.S Degree in Mechanical and or Electrical Engineering, Materials characterization, data science, or a related field.
  • Have 5+ years of demonstrated experience related to manufacturing research, focusing on additive manufacturing.
  • Understand the unique capabilities of additive processing, including complex material properties, stemming from process defects, microstructure and thermodynamic solidification.
  • Experience in generating and interpreting data utilized to enable qualifying AM produced hardware.
  • Have demonstrated experience leading a team to achieve impactful results.
  • Are an excellent communicator, in written and oral formats, and for a variety of audience types including high-level government sponsors.
  • Demonstrated history of authoring proposals and high impact publications.
  • Are willing and able to perform work in a laboratory setting and travel for field testing, sponsor visits, conference attendance, and presentations.
  • Are able to obtain a Secret level security 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...
  • Possess a P.h.D Degree in Mechanical and or Electrical Engineering, Materials characterization, data science, or a related field
  • Demonstrate experience fielding additively manufactured components using science-based qualification.
  • Have experience developing process models by manipulating key parameters such as power, speed and hatch spacing.
  • Have the capability to reconstruct 3D data including in-situ and post manufacturing data into a 3D format for data processing and visualization.
  • Have experience with machine learning and have demonstrated the ability to make statistical correlations with complex data sets.
  • Have experience with novel in-situ monitoring of additive processes with the ability to customize sensors to improve signal to noise or registration capability.

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 http://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 Accommodations@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
$105,000 Annually
Maximum Rate
$290,000 Annually

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