Top AI & Machine Learning Jobs

Lead enterprise AI, GenAI, agentic automation, MLOps, and RPA strategy and delivery. Build multi-cloud LLM platforms, enable model lifecycle management, deploy multi-agent systems, run an RPA COE, partner with security and legal, and drive production-scale AI programs with measurable business impact.

Lead research, design, and implementation of classical and ML/DL computer vision algorithms for defect detection, classification, metrology, and image analysis on semiconductor inspection tools. Prototype and evaluate approaches, run feasibility studies and benchmarking on large datasets, optimize performance for available compute (GPU), write production-quality code, and collaborate with software, systems, and compute infrastructure teams to productize solutions.

Lead end-to-end research, design, prototyping, and production deployment of image-processing and computer-vision algorithms for optical wafer inspection. Combine classical algorithms and deep learning for defect detection, classification, registration, and anomaly detection; optimize performance and collaborate with software, systems, and applications teams to productize solutions.

As an AI Algorithm Developer, you'll design and implement machine learning solutions for semiconductor processing, focusing on predictive models and data analysis.

Develop and deploy production-ready analytics and AI/ML solutions for complex industrial systems. Analyze operational data, prototype and validate models, manage model lifecycle and releases, collaborate with product/software/field teams, and translate model outputs into engineering recommendations for manufacturing environments.

Lead strategic, data-driven projects to optimize operations and supply chain processes. Analyze large datasets, build statistical and ML models, create Power BI dashboards and prototypes, clean and maintain data pipelines, communicate insights to stakeholders, drive implementations, and deliver training using generative AI tools.

Lead research, design, prototype, and implement computer vision and ML/DL algorithms for defect detection, classification, metrology, and image analysis. Collaborate with software, systems, and applications teams to productize and optimize algorithms for performance and hardware constraints.

Lead research, design, prototype, and implement CV/ML/DL algorithms for defect detection, classification, metrology, and image analysis on semiconductor tools. Collaborate with cross-functional teams, benchmark and optimize algorithms, and productize solutions while considering compute constraints.

Develop and evaluate machine learning algorithms using time-series sensor data, integrate data pipelines with software engineering, and communicate technical information globally.

Develop and implement image processing and machine learning algorithms, collaborate with engineers, and demonstrate algorithm performance for semiconductor process development.