AI/ML Software Engineer - Intern

KLA; Ann Arbor (MI); Presencial; USD 33.000 - 44.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with company match

ESPP

Descripción de la vacante

KLA is seeking a motivated graduate intern to join its technology team in Ann Arbor, MI. You will work on applied AI solutions, partnering with engineering and business teams to deliver measurable impact.

Formación

• Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.

Responsabilidades

• Ship real AI features — Python code that goes into existing applications and platforms.
• Build agentic systems — agent servers, prompt management, skill workflows, MCP tools, and RAG knowledge bases.
• Benchmark the latest models — evaluate open-source and commercial LLMs and shape what we adopt.
• Turn ideas into products — partner with engineering and business teams on proof-of-concepts that graduate into production.
• Automate manual workflows — replace them with AI and document the playbooks.
• Present your results — to technical leaders and business stakeholders.

Conocimientos

Python programming

GenAI experience

Communication skills

Educación

Master’s degree in Computer Science / AI / ML / Data Science / SE

Descripción del empleo

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology. Group/Division KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. We are seeking a motivated graduate intern with a strong interest in Machine Learning, Artificial Intelligence, and Data Science to join our technology team. In this role, you will support the development of applied AI solutions that address real business needs while gaining hands-on experience with enterprise-scale technology. The ideal candidate is curious, collaborative, and eager to apply technical skills to build scalable applications with measurable impact.

Key Responsibilities

• Ship real AI features — Python code that goes into existing applications and platforms
• Build agentic systems — agent servers, prompt management, skill workflows, MCP tools, and RAG knowledge bases.
• Benchmark the latest models — evaluate open-source and commercial LLMs and shape what we adopt.
• Turn ideas into products — partner with engineering and business teams on proof-of-concepts that graduate into production.
• Automate manual workflows — replace them with AI and document the playbooks.
• Present your results — to technical leaders and business stakeholders.

Preferred Qualifications

• Hands-on GenAI work through projects, research, hackathons, internships, or open source. Built with LLMs, RAG, prompt engineering, vector databases, orchestration frameworks, or agent workflows.
• Familiar with data pipelines and downstream integrations.
• Exposure to Python data tools, APIs, SQL/NoSQL, cloud services, or workflow automation.
• Familiar with CI/CD and deployment automation.
• Graduating within 12 months of internship completion. Strong fundamentals in ML, data structures, algorithms, and software engineering.
• Proficient in Python with working knowledge of AI/ML libraries.
• Familiar with GenAI, LLMs, and RAG.
• Basic exposure to cloud platforms and data engineering concepts.
• Strong analytical, problem-solving, and communication skills.
• Works well independently and on a team.

Minimum Qualifications

• Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.

Base Pay Range: $24.00 - $32.00 Per Hour

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe.

If you want to make electronics that push industries forward and make the world a better place, join us.

Total Rewards Base Pay Range: $0.00 - $0.00 Primary Location: USA-MI-Ann Arbor-KLA

• medical
• dental
• vision
• life
• and other voluntary benefits
• 401(K) including company matching
• employee stock purchase program (ESPP)
• student debt assistance
• tuition reimbursement program
• development and career growth opportunities and programs
• financial planning benefits
• wellness benefits including an employee assistance program (EAP)
• paid time off and paid company holidays
• and family care and bonding leave

Interns are eligible for some of the benefits listed.

Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

Equal Opportunity Statement

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at [e-mail] or at [phone] to request accommodation. For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.

Additional Information

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to [e-mail] to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.