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Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience. 6 years of experience building ML models for different use cases (e.g., tabular data, images, video, speech, unstructured text), and building production ML models with TensorFlow, Keras, PyTorch, JAX, Spark ML, or Scikit Learn. 2 years of experience coding in one or more of the following langu

IntroductionOn the scope of development of the newest system by ASML, the high NA system, Machine Conditioning group is involved on the development of state of the art control models using modern control theory approaches. The software is continuously growing and the frequency of the software delivery is increasing. This requires new and efficient approaches to integrate the software. CI/CD is one of the crucial part of a quality software product. ASML has it

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience in processing natural language and large language models. Experience with algorithms that uses

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 5 years of experience with physical design. Experience with Python or C++. Experience with machine learning. Preferred qualifications: 10 years of experience in synthesis and physical design. Experience in various machine learning algorithms from logistic regression to neural networks and re

Minimum qualifications: Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience. 4 years of experience with physical design flow such as floor planning, place and route, or physical verification. Experience with low-power design techniques, such as power gating, clock gating, or voltage scaling. Preferred qualifications: Experience in using Machine Learning (ML) in physical design.

Minimum qualifications: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field, or equivalent practical experience. 5 years of experience with ML/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with hardware description languages (e.g., Verilog, SystemVerilog, VHDL). Experience with applying ML/AI techniques. Preferred qualifications: Experie

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience in building and deploying Machine Learning (ML) models. Preferred qualific

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. Experience in Machine Learning, Technical Acumen, Program Management, SQL and Artificial Intelligence. Preferred qualifications: 2 years of experience managing cross-functional or cross-team projects. Experience in Data Analytics, Python and Operational Efficiency. Abili

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. Experience in Machine Learning. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. Experience in Large Language Models/ Deep Learning/NLP. About t

Algorithm Development: Design, implement, and optimize advanced machine learning algorithms for ML development based on PyTorch or TensorFlow.Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient ML models. Model Training and Evaluation: Train, fine-tune, and evaluate machine learning models using large datas