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Mechanical Engineer Machine Learning Intern Jobs

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering. * Python Programming: Strong proficiency in Python for machine ...

PlusAI

Machine Learning Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering. * Python Programming: Strong proficiency in Python for machine ...

SentinelOne

AI/Machine Learning Engineer Intern

$31/hr

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering skills to create reliable, AI-powered products within a fast-paced product engineering environment.

Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

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

As of Jun 6, 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.
Machine Learning Engineer Intern

Machine Learning Engineer Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Other

Retirement

Posted 22 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
  • Build an AI Assistant: Develop and deploy an internal AI chatbot that allows employees to query company knowledge and test results using natural language.
  • Implement RAG Architecture: Design and build a secure Retrieval-Augmented Generation (RAG) pipeline to pull contextual data from internal sources without compromising data privacy.
  • Develop Data Pipelines: Create automated pipelines to ingest, clean, and structure data from diverse sources, including internal documents, Slack conversations, and autonomous driving databases (bagdb, pluscene, and right-seater logs).
  • Fine-Tune Open-Source LLMs: Work with open-source models (such as Qwen) and fine-tune them to accurately understand and process company-specific terminology and AV testing metrics.
  • Generate Actionable Insights: Enable the system to synthesize complex data across simulation and road tests to answer questions about passing rates, test mileages, coverage gaps, and testing recommendations.
Required Skills:
  • Machine Learning & NLP: Solid understanding of Large Language Models (LLMs), natural language processing, and prompt engineering.
  • Python Programming: Strong proficiency in Python for machine learning workflows, scripting, and backend system integration.
  • Data Engineering Fundamentals: Experience building data extraction, transformation, and loading (ETL) pipelines, as well as handling both structured and unstructured data.
  • Familiarity with RAG: Core understanding of Retrieval-Augmented Generation workflows, text chunking, and vector embeddings.
Preferred Skills:
  • Open-Source LLM Experience: Hands-on experience deploying, fine-tuning, or quantizing open-source models (e.g., Qwen, LLaMA, Mistral) using frameworks like Hugging Face or vLLM.
  • Vector & Relational Databases: Experience working with vector databases (e.g., Milvus, Chroma, FAISS) as well as querying traditional SQL/NoSQL databases.
  • Autonomous Vehicle Domain Knowledge: Familiarity with autonomous driving data formats (e.g., ROS bags), simulation environments, or road testing metrics.
  • Chatbot Frameworks: Experience with LLM orchestration frameworks such as LangChain or LlamaIndex.
  • Data Security & Privacy: An understanding of best practices for deploying ML models locally or within secure, internally-hosted environments.
$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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