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Amperesand

Modular solid-state transformers for grid power

AI/ML Engineer Intern

Applied Machine Learning +1Posted on Nov 10
InternshipSunnyvale, CA, USA

About the Job

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Have strong programming skills in Python, Go, Rust, and TypeScript.
  • Have experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn, or similar frameworks.
  • Be familiar with large language models, prompt engineering, evaluations, and AI agents.
  • Understand machine learning fundamentals, model evaluation, and data processing.
  • Have experience with Git and collaborative software development practices.
  • Be available to work on-site.

Responsibilities

  • 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 use engineering data.
  • Fine-tune, evaluate, and optimize large language models for domain-specific engineering use cases.
  • Develop Retrieval-Augmented Generation 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 business and engineering problems.
  • Build data pipelines, model evaluation frameworks, and AI experimentation workflows.
  • Document solutions and contribute production-quality code.

Desired Qualifications

  • Have experience fine-tuning or evaluating open-source large language models.
  • Have experience with LangChain, LlamaIndex, Hugging Face, vector databases, or agentic frameworks.
  • Have exposure to MLOps, cloud platforms such as AWS, Azure, or GCP, or model deployment.
  • Have experience applying AI/ML to engineering, manufacturing, hardware, or industrial systems.
  • Be familiar with CAD, PLM, simulation tools, or engineering workflows.
  • Have an interest in energy systems, power electronics, AI infrastructure, or industrial automation.
  • Have research experience, open-source contributions, hackathon participation, or personal AI/ML projects.

About the Company

Amperesand

Modular solid-state transformers for grid power

Amperesand develops modular solid-state transformers (SSTs) for grid infrastructure using silicon carbide (SiC) devices and proprietary high-frequency transformers. The SSTs are digitally controlled and bidirectional, offered in 2, 4, and 6 MW modules that can be combined to meet larger needs, replacing traditional transformers, switchgear, and UPS in a single AI-driven system. It differentiates itself through the combination of SiC SSTs, proprietary high-frequency transformers, digital power management, and leadership from NTU R&D spun out with Temasek’s Xora Innovation, plus an experienced team from ABB, GE, Siemens, and Vestas. The goal is to speed up the energy transition by delivering scalable, compact SST systems for EV charging networks, microgrids, data centers, and industrial power, with first deliveries planned for 2025 in the US and Singapore.

Company size
51-200
Company stage
Series A
Total funding
$130M
Headquarters
Singapore
Founded
2023

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