AI/ML Engineer Intern

Sunnyvale, CAinternshipOn Site

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Amperesand AI/ML Engineer Intern at Amperesand contributing to AI and Machine Learning solutions to improve reliability and accelerate product development. Works closely with engineers, product owners, and stakeholders in a fast-paced startup environment.

Responsibilities

This internship is an opportunity to work hands-on with a startup engineering team that builds and experiments with the latest advancements in AI and Machine Learning. You will contribute to multiple teams, architecting and implementing AI/ML solutions to help improve reliability, and accelerate the development process
Design and develop AI/ML solutions that accelerate product development and engineering workflows.
Build AI frameworks, agentic workflows, and knowledge assistants that help teams access and utilize engineering data.
Fine-tune, evaluate, and optimize Large Language Models (LLMs) for domain-specific engineering use cases.
Develop Retrieval-Augmented Generation (RAG) applications using engineering documentation, test data, and design knowledge.
Train and deploy machine learning models to support Mechanical Design Engineering and related teams.
Partner with Mechanical, Electrical, Manufacturing, and Software Engineers to solve high-impact business and engineering problems.
Build data pipelines, model evaluation frameworks, and AI experimentation workflows.
Document solutions and contribute production-quality code in a fast-paced startup environment.
Bring a customer-oriented, team-first mindset to a fast-paced startup environment.
What You’ll Bring
Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

Qualification

Experience with LangChainExposure to MLOpsFamiliarity with CADInterest in energy systemsResearchEmployment Type

Preferred

Experience fine-tuning or evaluating open-source LLMs.
Experience with LangChain, LlamaIndex, Hugging Face, vector databases, or agentic frameworks.
Exposure to MLOps, cloud platforms (AWS, Azure, or GCP), or model deployment.
Experience applying AI/ML to engineering, manufacturing, hardware, or industrial systems.
Familiarity with CAD, PLM, simulation tools, or engineering workflows.
Interest in energy systems, power electronics, AI infrastructure, or industrial automation.
Research, open-source contributions, hackathons, or personal AI/ML projects.
Employment Type:

Benefits

Dental
Vision
401(k)
PTO
Equity/RSU
Life Insurance

Company

Amperesand

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Source: greenhouse

Active within the past hour

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AIMachine LearningAI/ML solutionsagentic workflows

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