Software Engineer Machine Learning

About the position

The Software Engineer Machine Learning position at KLA-Tencor Corporation involves developing and implementing machine learning (ML) and generative AI (GenAI) solutions to enhance predictive modeling and data-driven decision-making. The role requires collaboration with multi-functional teams to deploy scalable ML and software solutions that drive innovation and strategic insights for business partners. The ideal candidate will have a strong background in statistics, programming, and data science, along with software engineering principles.

Responsibilities

• Understand the data in the context of the business and assess technologies that can generate useful and actionable insights.
• Develop technology solutions in predictive analytics, anomaly detection, classification, regression problems, ML/DL model architecture, statistical modeling, time series, and feature engineering.
• Quickly build a proof-of-concept machine learning pipeline from data collection to model training and metrics evaluation.
• Build a machine learning platform/application for the end-to-end machine learning lifecycle, including rapid prototyping, full-scale training, deployment, monitoring, and maintenance of models.
• Serve the machine learning model in a stand-alone application or through a robust API.
• Collaborate with business to understand their requirements, collect feedback on machine learning results, and incorporate various signals into the machine learning models.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• Minimum five (5) years of relevant experience in Machine Learning and Machine Learning Modeling.
• Understanding of all well-known machine learning algorithms, including their assumptions, advantages, and limitations.
• Proficiency in programming languages such as Python, R, Java, and C/C++.
• Hands-on experience with building machine learning models using Scikit-learn, Tensorflow, Keras, or PyTorch.
• Strong core computer science fundamentals (data structures, algorithms, architecting systems).
• Practical experience with implementing a machine learning system that may mix heuristic rules, prior knowledge, and other constraints.
• Ability to solve problems independently and possess good collaboration and interpersonal skills.

Nice-to-haves

• Experience with developing GenAI framework for RAG, GraphRAG, fine-tuning LLM, etc.
• Experience with large-scale data processing and distributed computing.
• Understanding of front-end application development.

Benefits

• Medical, dental, and vision insurance
• Life insurance
• 401(K) with company matching
• Employee stock purchase program (ESPP)
• Student debt assistance
• Tuition reimbursement program
• Development and career growth opportunities
• Financial planning benefits
• Wellness benefits including an employee assistance program (EAP)
• Paid time off