Algorithms Engineer (E)

KLA · Ann Arbor, MI

Company

KLA

Location

Ann Arbor, MI

Type

Full Time

Job Description

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.

Job Description/Preferred Qualifications

Job Description/Preferred Qualifications

Responsibilities:

As an Algorithms Engineer, you will develop algorithms and software applications for improved diagnostics and predicative maintenance of KLA's fleet of tools. You will closely collaborate with Software, Algorithms, Service, and Application Teams to gather and analyze technical requirements and success criteria, then develop complex data analysis algorithms. You will responsible for exploring data, understanding correlations, extracting features, selecting appropriate analysis techniques, developing predictive models using custom algorithms, and performing necessary tests and tuning. You will work with engineering domain experts to evaluate the algorithm results and select the optimal solution.

Basic Qualifications:

• Excellent understanding of statistics, data structures, and algorithms

• Practical experience developing analytics and algorithms in Python (understanding of object-oriented design is a plus)

• Sound understanding of data analytics and machine learning models for regression, classification problems

• Effective communication and team interaction skills

• Creative problem-solver who is motivated to learn independently

Desired:

Having some of following types of experience is useful:

• Statistical analysis, pattern recognition, prediction modeling, working with time-series data

• Working with structured/unstructured databases

• Designing and implementing User Interfaces

• Encryption and security concepts and practices

• Building, maintaining, or repairing scientific instruments or other mechanical, electrical, and/or optical systems

Minimum Qualifications

Doctorate Degree, or Master's with two years of experience, or Bachelor's with five years of relevant experience, with a degree in computer science/analytics/ /machine learning/data science/engineering (mechanical, electrical, systems)/ physics, or related technical field.

The company offers a competitive and comprehensive benefits package 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, financial planning benefits, employee assistance program (EAP), paid time off and paid company holidays, 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 [email protected] to request accommodation.

Date Posted

12/27/2022

Views

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