About the role#
This internship offers a hands-on opportunity to work with a startup engineering team building and experimenting with AI and Machine Learning. You will contribute to multiple teams, architecting and implementing solutions to improve reliability and accelerate development. You will work alongside engineers, product owners, and stakeholders who rely on these AI-enabled tools. Expect to take ownership of real, production-facing work in a goal-oriented environment.
What you'll do#
- Design and develop AI/ML solutions to accelerate product development and engineering workflows.
- Build AI frameworks, agentic workflows, and knowledge assistants to help teams access 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 business and engineering problems.
- Build data pipelines, model evaluation frameworks, and AI experimentation workflows.
- Document solutions and contribute production-quality code.
What you'll need#
- 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 like PyTorch, TensorFlow, or Scikit-Learn.
- 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 an ambiguous startup environment.
- 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.
- Relevant experience through research, open-source contributions, hackathons, or personal projects.
Location & details#
- Location: Sunnyvale, California.
- Modality: This position requires working on-site 5 days a week. We do not offer hybrid or remote options.
- Term: Rolling.
About Amperesand
Amperesand produces medium voltage power conversion technology for industrial loads and AI datacenters. The company uses solid state transformers paired with software controls to manage power infrastructure. It originated as a spin-out from the Energy Research Institute at Nanyang Technological University in Singapore. Founded in 2023, the firm maintains a staff of 11 to 50 people.
How to get in at Amperesand
Applying early at Amperesand provides a distinct advantage because recruiters review initial submissions before the candidate pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. This ensures your application is seen before the pile grows. Reaching out to the person responsible for hiring can also improve your chances of getting a response. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral, which materially improves response rates.
