AI/ML Engineering Intern
Role Overview
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.
Key Skills for This Role
Full Job Posting
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
- Full-time
- Sunnyvale
- 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.
- 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
- Fast-moving startup environment
- 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)
- 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
- Government-paid maternity, paternity, shared parental, and childcare leave in accordance with prevailing Singapore statutory entitlements
- Additional benefits may be available depending on the role and employment type. Benefits are subject to the terms of applicable company policies and plans.
- Candidate Confidentiality & Information Protection
- As part of our commitment to protecting confidential and proprietary information, candidates should not disclose or provide Amperesand with any confidential, proprietary, or trade secret information belonging to a current or former employer or any other third party during the application or interview process.
- Please do not submit or present employer-owned source code, schematics, designs, technical documentation, internal presentations, customer information, prototypes, or other confidential materials. Candidates should discuss their experience and accomplishments at an appropriate level and use only information and materials they are authorized to share.
- Equal Employment Opportunity
- Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
- Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
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
Fast-moving startup environment
Pay Disclosure & Benefits
Compensation will be determined based on experience, location, and other factors permitted by law.
The benefits outlined below apply exclusively to employees located in the United States:
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)
The benefits outlined below apply to employees located in Singapore:
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
Government-paid maternity, paternity, shared parental, and childcare leave in accordance with prevailing Singapore statutory entitlements
Additional benefits may be available depending on the role and employment type. Benefits are subject to the terms of applicable company policies and plans.
Candidate Confidentiality & Information Protection
As part of our commitment to protecting confidential and proprietary information, candidates should not disclose or provide Amperesand with any confidential, proprietary, or trade secret information belonging to a current or former employer or any other third party during the application or interview process.
Please do not submit or present employer-owned source code, schematics, designs, technical documentation, internal presentations, customer information, prototypes, or other confidential materials. Candidates should discuss their experience and accomplishments at an appropriate level and use only information and materials they are authorized to share.
Equal Employment Opportunity
Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Qualifications
- 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.
Responsibilities
- 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.
About Amperesand
Power infrastructure company developing medium-voltage solid-state transformers for AI data centers and critical infrastructure.
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