AI/ML Engineering Intern

Amperesand • Sunnyvale, CA

7h • Onsite

About The Position

Amperesand is building next-generation power infrastructure for data centers, EV charging platforms, and future energy applications. Its systems combine power electronics, embedded controls, and scalable energy architectures. The company is hiring an AI/ML Engineering Intern to work hands-on with its startup engineering team and contribute AI/ML solutions that improve reliability and accelerate product development.

The intern will collaborate with engineers, product owners, and internal and external stakeholders, taking ownership of production-facing work in a fast-paced, goal-oriented environment. The role involves developing AI/ML solutions, frameworks, agentic workflows, knowledge assistants, LLM applications, RAG systems, machine-learning models, data pipelines, and evaluation workflows for engineering use cases. The position requires working on-site five days per week; hybrid and remote options are not offered. The start date is available now.

Requirements

• 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, evaluations, 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 and team-oriented, and comfortable working in a fast-paced, ambiguous startup environment.
• Available to work on-site.

Nice To Haves

• Experience fine-tuning or evaluating open-source LLMs.
• Experience with LangChain, LlamaIndex, Hugging Face, vector databases, or agentic frameworks.
• Exposure to MLOps, cloud platforms such as 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.

Responsibilities

• Design and develop AI/ML solutions that accelerate product development and engineering workflows.
• Build AI frameworks, agentic workflows, and knowledge assistants to 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 high-impact business and engineering problems.
• Build data pipelines, model evaluation frameworks, and AI experimentation workflows.
• Document solutions and contribute production-quality code.
• Bring a customer-oriented, team-first mindset to a fast-paced startup environment.

Benefits

• Competitive salary and incentive stock options.
• Medical, vision, and dental benefits for employees and dependents, effective from the start of hire (United States).
• Company-paid basic life, AD&D, short-term disability, and long-term disability insurance (United States).
• 401(k) retirement savings plan through Empower (United States).
• Paid time off, paid sick days, and paid company holidays (United States).
• Commuter benefits.
• 100% paid maternal leave for 12 weeks and paternal leave for 6 weeks (United States).
• Group medical, hospitalisation and surgical insurance, outpatient or GP coverage, group term life, dental, and personal accident insurance (Singapore).
• 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 Singapore public holidays in line with or exceeding the Employment Act.
• Government-paid maternity, paternity, shared parental, and childcare leave in accordance with prevailing Singapore statutory entitlements.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed