AI/ML Engineering Intern

Location: Sunnyvale, California, United States Department: Software

Company Overview

Amperesand is reinventing how the world powers its most critical systems.

We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.

And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.

We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.

Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.

Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.

Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.

With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.

Join us in building the power foundation of the future!

About Amperesand

Amperesand is building next-generation power infrastructure systems for Data Centers, EV charging platforms, and future energy applications. Our systems combine advanced power electronics, embedded controls, and scalable energy architectures to rethink how power is converted, controlled, and deployed.

About the Role

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

You will work closely with engineers, product owners, and internal and external stakeholders who rely on our AI enabled solutions every day. This is a fast-paced, goal-oriented environment where you'll be expected to take ownership of real, production-facing work.

What You’ll Do

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.

Strong programming skills in Python, Go, Rust, and TypeScript.

Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-Learn, or similar.

Familiarity with LLMs, prompt engineering, Evals, and AI agents.

Understanding of machine learning fundamentals, model evaluation, and data processing.

Experience with Git and collaborative software development practices.

Strong communication, problem-solving, and teamwork skills.

Self-motivated, team-oriented, and comfortable working in a fast-paced, ambiguous startup environment.

Available to work on-site.

Nice to Have

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.

Working Model

Employment Type

• Full-time

Location

Sunnyvale

Work Model

• Onsite

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.

While this role is listed for the location above, we may consider candidates in other locations on a case-by-case basis.

Onsite Collaboration Rationale

Given the highly collaborative and cross-functional nature of hardware, embedded systems, and product development, in-person partnership across engineering and product teams is critical to enabling rapid execution, technical alignment, and successful development outcomes.

Why Join Amperesand

Work on next-generation power infrastructure systems

High ownership and visibility

Cross-functional collaboration

Opportunity to shape future products and infrastructure