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Machine Learning Intern Jobs in California, MD (NOW HIRING)

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Machine Learning Intern information

See California, MD salary details

$24.4K

$40.8K

$84.3K

How much do machine learning intern jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning intern in California, MD is $40,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What cities near California, MD are hiring for Machine Learning Intern jobs? Cities near California, MD with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you

DOD Skillbridge Quality Assurance Inspector Internship - Active Duty Requirements

Magee Technologies

California, MD • On-site

Full-time

Posted 24 days ago

Job description

Job Type
Full-time
Description
Impact Summary:
As a Quality Assurance Inspector Intern with MTech, you will leverage your military aviation maintenance background in a high-impact role supporting the production of precision aerospace components. Your prior qualifications as a Quality Assurance Representative (QAR) or Collateral Duty Inspector (CDI) at the Intermediate (I-Level) or Depot (D-Level) will position you to contribute meaningfully to a fast-paced manufacturing environment. Through hands-on training and mentorship, you will enhance our compliance with AS9100 standards, conduct dimensional inspections using advanced metrology tools, and uphold the rigorous quality expectations of defense and aerospace customers. This internship provides a clear transition path into civilian quality assurance careers while supporting MTech's commitment to excellence in airworthiness and product integrity.
Responsibilities:
  • Inspect, test, or measure parts and assemblies for conformity using calipers, micrometers, height gauges, and CMM tools.
  • Read and interpret complex engineering drawings, schematics, and GD&T (Geometric Dimensioning and Tolerancing) per ASME Y14.5.
  • Conduct receiving, in-process, and final inspections per work order instructions and technical specifications.
  • Perform First Article Inspections (FAI) and document results using AS9102 formats.
  • Verify compliance of parts and subassemblies against engineering, process, and customer requirements.
  • Maintain traceability of inspection records, calibration logs, and quality documentation.
  • Identify non-conformances and support the generation of Non-Conformance Reports (NCRs) and Corrective/Preventive Action Reports (C/PARs).
  • Assist in readiness activities for internal and external audits (e.g., AS9100 surveillance, customer inspections).
  • Participate in mock audits and internal compliance reviews.
  • Support cross-functional teams in evaluating discrepancies and continuous improvement initiatives.
  • Follow MTech's safety, FOD control, and documentation protocols throughout inspection activities.

Competencies:
  • Technical Inspection Proficiency: Skilled in dimensional inspection using manual and CMM equipment; ability to inspect parts manufactured via machining, welding, or assembly.
  • Blueprint and GD&T Literacy: Able to interpret blueprints, process specifications, and GD&T features (ASME Y14.5).
  • Quality Systems Knowledge: Familiar with ISO 9001, AS9100, and AS9102 standards in aerospace environments.
  • Problem Solving: Effective in identifying root causes and proposing corrective actions; working knowledge of RCA and CAPA tools.
  • Communication: Strong documentation and verbal skills to clearly communicate findings, discrepancies, and suggestions.
  • Adaptability: Comfortable operating in a dual military-to-civilian learning environment; capable of transitioning between various QA functions and systems.

Requirements
  • Active-duty U.S. military service member eligible for DoD Skillbridge participation.
  • Minimum 5-7 years of aviation maintenance experience at the I-Level or D-Level.
  • Certification or designation as a Quality Assurance Representative (QAR) or Collateral Duty Inspector (CDI).
  • Demonstrated proficiency in inspection tools (e.g., calipers, micrometers, indicators, CMM).
  • Experience with First Article Inspection (FAI) processes.
  • Familiarity with technical data packages and digital work instructions.
  • US Security Clearance to the Level of SECRET required.
  • Experience with AS9100-compliant environments or other quality management systems preferred
  • Familiarity with inspection planning, risk-based thinking, or Lean/Six Sigma principles preferred.
  • Prior use of QA software tools or digital inspection systems preferred.

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