AI/ML Engineering Intern
About The Position
Amperesand is building next-generation power infrastructure systems for data centers, EV charging platforms, and future energy applications. Its products combine power electronics, embedded controls, and scalable energy architectures. The AI/ML Engineering Intern will work hands-on with the startup’s engineering team to develop and experiment with AI and machine-learning solutions that improve reliability and accelerate development. The intern will contribute across multiple teams and collaborate with engineers, product owners, and internal and external stakeholders. The role involves ownership of production-facing work in a fast-paced, goal-oriented environment and requires working onsite five days per week in Sunnyvale; hybrid and remote options are not offered. The intern will develop AI/ML solutions and supporting infrastructure for engineering workflows, including agentic workflows, knowledge assistants, domain-specific LLM applications, RAG systems, and machine-learning models for Mechanical Design Engineering and related teams. The role also includes building data pipelines and evaluation and experimentation workflows, partnering across engineering disciplines, documenting solutions, and producing production-quality code.
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, or Scikit-Learn, or similar frameworks.
- Familiarity with large language models, 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, with comfort working in a fast-paced, ambiguous startup environment.
- Available to work onsite; the role requires onsite work five days per week.
Nice To Haves
- Experience fine-tuning or evaluating open-source large language models.
- 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 to 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 address 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 the 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
