KLA is looking to revolutionize semiconductor manufacturing by developing modern AI models that detect nanoscale defects, often with limited data and system access. The job aims to shape the future of AI in the semiconductor industry by developing intelligent systems for the next generation of semiconductor technology.
Requirements
- Deep expertise in Python and ML frameworks like PyTorch, TensorFlow, and Keras.
- Proven experience with foundational models and modern AI toolchains.
- Strong analytical skills and a track record of solving sophisticated technical problems.
Responsibilities
- Architect and build the MLOps backbone of our AI products, ensuring scalability, reliability, and performance.
- Deploy sophisticated ML models at customer sites, ensuring seamless integration and high performance in production air-gapped environments.
- Stay ahead of the curve by integrating the latest ML/AI research into real-world applications.
- Lead the data pipeline—from dataset selection and preprocessing to quality assurance and model training.
- Lead experimentation and statistical analysis to fine-tune models for optimal accuracy and efficiency.
Other
- Collaborate multi-functionally with team members, designers, and engineers to define and implement technical requirements.
- Mentor and inspire junior engineers, fostering a culture of technical excellence and continuous learning.
- 7+ years of hands-on experience developing and deploying ML models for external customers—not just internal tools.
- Excellent communication skills—you can explain sophisticated concepts to both technical and non-technical audiences.
- Demonstrated leadership in managing projects or teams, with the ability to juggle multiple priorities in a fast-paced environment.
