AI/ML Engineering Intern

Company Overview

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.

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.

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.

Pay Disclosure & Benefits

Compensation will be determined based on experience, location, and other factors permitted by law.

• Competitive Salary + Incentive Stock Options
• Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• 401k retirement savings plan through Empower
• Employees receive paid time off (PTO), paid sick days, and paid company holidays
• Commuter Benefits
• 100% paid maternal leave (12 weeks) and paternal leave (6 weeks)

• Competitive Salary + Incentive Stock Options
• Group medical, hospitalisation and surgical insurance, outpatient or GP coverage, group term life, dental and personal accident insurance
• Employer and employee Central Provident Fund contributions in accordance with the CPF Act (for Singapore Citizens and Permanent Residents)
• Annual leave, paid sick leave, hospitalisation leave, and all Singapore public holidays, in line with or exceeding the Employment Act
• Commuter Benefits
• Government-paid maternity, paternity, shared parental, and childcare leave in accordance with prevailing Singapore statutory entitlements