Software Engineer - AI/ML

Requirements

• · Bachelor's degree in Computer Science, Data Science, AI, or a related field.
• Master's and/or PhD preferred · Minimum of 3-5 years of experience in AI/ML, with a proven track record of deploying solutions in a production environment. · Proficiency in Python, or similar languages, with experience in libraries like TensorFlow, Scikit-learn, etc.
• Experience with RAG is essential. · Strong background in statistics, machine learning algorithms, deep learning, neural networks, and system architecture. · Strong understanding of cloud platforms, DevOps practices, and data processing technologies. · Demonstrated ability to lead technical projects and work effectively in matrix environments. · Ability to communicate technical concepts to non-technical team members and business partners. · Familiarity with software engineering best practices, including version control (Git), CI/CD pipelines, agile methodologies, and system design patterns.
• Preferred: · Experience with specialized AI domains or industry-specific applications. · Contributions to open-source projects or research publications in AI/ML. · Knowledge of AI ethics and responsible AI practices.
• We offer a competitive, family friendly total rewards package.
• We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our 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.
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