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 Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence.
Job
Description/Preferred
Qualifications
Senior Data Informatics Manager – AI/ML Engineering Development
We are seeking a highly accomplished
Senior Data Informatics Manager
to lead the strategy, development, and delivery of advanced
AI/ML engineering solutions
that enable data-driven decision-making, intelligent automation, and operational excellence across the enterprise. This leader will play a critical role in shaping and scaling solutions spanning
advanced analytics, machine learning, Generative AI, NLP, large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks
.
The ideal candidate brings a strong blend of
technical depth, applied innovation, and business partnership
, with a track record of delivering high-impact solutions in areas such as predictive analytics, workflow automation, quality intelligence, system intelligence, conversational AI, and enterprise data science.
Key Responsibilities
Lead the vision, roadmap, and execution of enterprise
AI/ML and data informatics initiatives
that improve operational efficiency, decision support, and service quality.
Drive the design, development, and deployment of advanced analytical solutions using
classification, clustering, regression, time series analysis, neural networks, and statistical modeling
.
Oversee the development of
Generative AI and NLP-based solutions
, including applications involving summarization, text mining, sentiment analysis, automation, and LLM-enabled workflows.
Lead the creation of
context-aware conversational systems
, including
RAG-enabled assistants, chatbot platforms, and knowledge-driven AI applications
.
Guide the implementation of
multi-agent and agentic AI systems
to automate complex workflows, improve orchestration, and enhance enterprise decision-making.
Partner closely with cross-functional stakeholders across engineering, operations, product, cybersecurity, and business teams to identify high-value opportunities and translate them into scalable AI/ML solutions.
Establish and promote best practices across the AI/ML lifecycle, including data preparation, model development, validation, deployment readiness, performance monitoring, and continuous improvement.
Mentor and develop high-performing teams of data scientists, ML engineers, and informatics professionals, fostering technical excellence, innovation, and business impact.
Communicate technical strategy, solution value, and execution progress effectively to senior leaders and diverse stakeholder groups.
Required Qualifications
Master’s degree or higher in
Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline
with research focus in
data mining, machine learning, text mining, databases, statistics, and forecasting
.
5+ years of progressive experience
in data science, analytics, machine learning, or informatics, including experience delivering enterprise-scale solutions.
Demonstrated expertise in
machine learning and statistical methods
, including classification, clustering, regression, time series analysis, hypothesis testing, Bayesian analysis, and neural networks.
Strong experience with
Generative AI technologies
, including
LLMs, OpenAI tools, NLP techniques, LangChain, LangGraph, AutoGen, swarm or multi-agent frameworks, and vector database-based architectures
.
Proven experience building or leading solutions involving
RAG, advanced chatbots, knowledge-aware AI systems, and intelligent workflow automation
.
Expertise in
text analytics, summarization, sentiment analysis, and unstructured data processing
for real-world business applications.
Proficiency with modern analytics and ML development tools such as
Python, R, SAS, TensorFlow, PyTorch, SQL, and data visualization platforms
.
Strong communication and leadership capabilities, with the ability to influence technical and business stakeholders and convert complex challenges into scalable solutions.
Preferred Qualifications
Experience leading teams or mentoring technical professionals in
data science, AI/ML engineering, or data informatics
environments.
Hands-on experience with
LLM-powered automation, systems intelligence workflows, or agentic AI
.
Demonstrated ability to quickly adopt emerging technologies and apply them effectively to create innovative, production-relevant solutions.
Minimum Qualifications
Master’s degree or higher in
Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline
with research focus in
data mining, machine learning, text mining, databases, statistics, and forecasting
.
5+ years of progressive experience
in data science, analytics, machine learning, or informatics, including experience delivering enterprise-scale solutions.
Demonstrated expertise in
machine learning and statistical methods
, including classification, clustering, regression, time series analysis, hypothesis testing, Bayesian analysis, and neural networks.
Strong experience with
Generative AI technologies
, including
LLMs, OpenAI tools, NLP techniques, LangChain, LangGraph, AutoGen, swarm or multi-agent frameworks, and vector database-based architectures
.
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 is proud to be an equal opportunity employer
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.
