Data Science and SW Engineering Intern

4 days ago

Ann Arbor, United States Disability Solutions Full time
Base Pay Range: $0.00 - $0.00 Per Hour

Primary Location: USA-MI-Ann Arbor-KLA

KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits identified below. Interns are eligible for some of the benefits identified below. Our pay ranges are determined by role, level, and location. The range displayed above reflects the minimum and maximum pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including location, job-related skills, experience, and relevant education level or training. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
The vision of KLA’s global human resources organization is to become a leader and partner to operating leadership in support of the company’s efforts to achieve its strategic growth, customer and operating objectives through strategic talent management. Our mission is to enable the business, and leverage human resources to achieve short and long-term business objectives. Our primary areas of strategic focus include talent acquisition, individual and organizational assessment and development, performance management, inclusion and engagement, and rewards. The global HR organization includes HR business partners, learning and development, talent acquisition, compensation and benefits, employee communications, and HR system operations.

Job Description/Preferred Qualifications

Great opportunity for the curious and motivated mind for internship during the summer of CY25. We are seeking eager and highly motivated intern pursuing BSc, MSC, or PhD in fields such as data science, computer science, statistics, or related fields to work on exploratory project with KLA Services Division to define and conduct work to discover trends and potential paths to get insights from service data. The candidate will need to develop a quick understanding of the data, data sources, and suggest potential paths to analyze the data and try to get actionable insights from the data. We are open to machine learning or classic approaches. The candidate will collaborate with subject matter experts from service team, supply chain, and engineering, to understand the data and the type of output we are pursuing.

Responsibilities:
  • Discuss and establish requirements with the team
  • Understand and establish data sources
  • Articulate and define the problem statement and expected output
  • Conduct discovery work to uncover patterns and potential useful signals from the data
  • Establish methods to validate and sanity check the output
  • Create visualization and presentation of the data and output
  • Suggest and establish follow up work and roadmap


Minimum Qualifications

Requires less than 1 year of related experience.
  • Student pursuing BSc, MSC, or PhD in data science, statistics, CS, or related fields
  • Familiarity with programming language required
  • Basic knowledge of ML and AI methods and classic data analytics
  • Experience with data visualization tools
  • Comfortable with pursuing a discover project with unknown output.
  • Excellent written and verbal communication skills


The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: 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.

KLA is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law. 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 talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

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 talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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