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Mechanical Engineer Machine Learning Intern Jobs

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... with engineering and product teams to deploy AI-powered features. • Work with large, real-world ...

Machine Learning Intern (R&D) Location: 5-days in NY office Job Type: Full time (June 15 - Aug 14 ... with engineering and product teams to deploy AI-powered features. • Work with large, real-world ...

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Main Responsibilities and Duties: Develop and implement ...

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Mechanical Engineer Machine Learning Intern information

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How much do mechanical engineer machine learning intern jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for mechanical engineer machine learning intern in the United States is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.28 per hour, depending on experience, location, and employer.

How do Mechanical Engineer Machine Learning Interns typically collaborate with multidisciplinary teams during their internship?

Mechanical Engineer Machine Learning Interns often work closely with both mechanical engineering teams and data science or software engineering groups. They may participate in joint meetings to align on project goals, share progress, and troubleshoot challenges. These interns are frequently involved in integrating machine learning models with physical systems or simulations, requiring clear communication and teamwork across disciplines. This collaborative environment enhances learning and provides valuable exposure to real-world applications of both mechanical engineering and machine learning.

What does a Mechanical Engineer Machine Learning Intern do?

A Mechanical Engineer Machine Learning Intern works at the intersection of mechanical engineering and artificial intelligence. Their main responsibilities typically include assisting with the development and integration of machine learning algorithms to solve engineering challenges, such as predictive maintenance, process optimization, or robotic automation. They collaborate with both mechanical and software engineering teams to collect data, build models, and analyze results. Interns in this role gain hands-on experience with data analysis, simulation tools, and advanced programming while contributing to innovative projects.

What is the difference between Mechanical Engineer Machine Learning Intern vs Mechanical Engineer Intern?

AspectMechanical Engineer Machine Learning InternMechanical Engineer Intern
Required CredentialsTypically pursuing or holding a degree in Mechanical Engineering, with knowledge of machine learningUsually pursuing or holding a degree in Mechanical Engineering, focusing on design and analysis
Work EnvironmentResearch labs, tech companies, or industries integrating AI and machine learningManufacturing, product design, or engineering firms focusing on mechanical systems
Employer & Industry UsageTech firms, automotive, aerospace, and robotics companiesManufacturing plants, engineering consultancies, and industrial firms

The Mechanical Engineer Machine Learning Intern combines mechanical engineering fundamentals with machine learning skills, often working on AI-driven projects. In contrast, the Mechanical Engineer Intern focuses on traditional mechanical design, analysis, and manufacturing tasks. Both roles require a mechanical engineering background, but the Machine Learning Intern emphasizes data-driven approaches and AI integration.

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

To excel as a Mechanical Engineer Machine Learning Intern, you need a solid background in mechanical engineering fundamentals, programming (Python or MATLAB), and introductory machine learning concepts, often supported by current enrollment in an engineering or related STEM degree program. Familiarity with CAD software, data analysis tools, and machine learning libraries like TensorFlow or scikit-learn is commonly required. Strong problem-solving skills, curiosity, and the ability to communicate technical ideas clearly help you stand out in this interdisciplinary role. These competencies are critical for effectively applying machine learning to mechanical engineering challenges and collaborating within diverse project teams.

Applied Machine Learning Intern

WaveWorks Technologies Inc

Seattle, WA • On-site

Full-time

Posted 10 days ago


Job description

Applied Machine Learning Intern
WaveWorks is building applied AI systems for real-world industrial environments. We are seeking a hands-on Applied Machine Learning Intern to work directly on live deployment data, develop modeling approaches, and take ownership of analysis for an active site.
RESPONSIBILITIES
  • Process, clean, and structure large-scale audio/time-series datasets
  • Align data with ground truth and validate data quality
  • Develop and evaluate modeling approaches for predictive maintenance
  • Design and run structured experiments, analyze results, and document findings
  • Improve data workflows and evaluation pipelines

REQUIRED QUALIFICATIONS
  • Pursuing a degree in Computer Science, Electrical Engineering, Data Science, or related field
  • Strong Python skills
  • Experience with ML frameworks (PyTorch, TensorFlow, or scikit-learn)
  • Comfortable working with real-world, noisy datasets
  • Strong analytical and documentation skills

PREFERRED QUALIFICATIONS
  • MS or PhD candidate in a relevant technical field
  • Experience with audio processing or time-series feature engineering
  • Familiarity with anomaly detection
  • Exposure to signal processing concepts (FFT, spectrograms, filtering)
  • Experience designing and evaluating structured ML experiments
  • Self-driven and comfortable operating in an early-stage environment

WaveWorks is committed to a friendly and welcoming working environment. WaveWorks does not discriminate based on race, gender, age, religious affiliation, or any other legally protected status.
WaveWorks is located in downtown Seattle, Washington.