## About the RoleWe are seeking a skilled AI Engineer to join our Services AI Engineering team. You will focus on creating robust online and offline learning systems, fine-tuning models for optimal performance, developing evaluation strategies and ensuring efficient model inference. The ideal candidate will have a strong background in reinforcement learning theory and application, experience with model optimization techniques and a passion for driving advanced research and development for KLA use cases.## QualificationsMaster’s degree and above in AI, Machine Learning, Computer Science, Engineering, or a related field.
Proficiency in model fine-tuning techniques for large-scale models and tailoring them to specific tasks.
Experience with inference optimization techniques (e.g. quantization, pruning, hardware-specific optimizations)
Hands-on experience in machine learning, natural language processing, and AI technologies with contributions to open-source AI/ML projects.
Strong programming skills in Python and familiarity with ML libraries (Ex. TensorFlow, Pytorch).
Familiarity with MLOps practices and tools for deploying and managing models in production.
Prior experience in a similar industry is a plus.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Minimum Qualifications:
Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.## ResponsibilitiesResearch emerging AI technologies focused on contextual classification, multimodal models, and AI databases.
Design, develop, and deploy proof of concepts from research.
Collaborate with cross-functional teams to integrate models into our existing systems and workflow.
Participate in AI research, systems architecture discussions and code reviews.
Conduct data engineering and analysis to improve model accuracy and efficiency.
Fine-tune models based on feedback and performance metrics.## BenefitsKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: 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.
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