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Staff Machine Learning Engineer
2 months ago
We are seeking an accomplished and driven Machine Learning Engineer to join our EUV source team in San Diego. As a key member of our team, you will play a crucial role in decoding and applying groundbreaking research to set the course for our team in the thriving field of Large Language Models and Generative AI.
Key Responsibilities- Design, develop, and implement complex algorithms involving controller design, system identification, signal processing, and dataset analysis using Artificial Intelligence and Machine Learning techniques.
- Work on a wide variety of AI projects, such as physics-based model development, machine learning, and Generative AI, for the development of the EUV source, and partner with engineering teams to integrate ML models and solutions, ensuring performance optimization and alignment with broader Product goals.
- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.
- Actively engage in all aspects of model development, from ideation and experimentation to deployment.
- Work with large-scale data sets and intensive hands-on algorithm development.
- Experience with optimization, approximation algorithms, deep learning, and hands-on implementation of these techniques.
- Ability to translate, statistically analyze large amounts of data, and effectively report problems through written and/or graphical formats.
- Comprehensive knowledge and hands-on experience with fine-tuning approaches and training models.
- Proven problem-solving and leadership abilities, with the capacity to steer the team's research and practical applications in a collaborative and fast-paced environment.
- Experienced in one or more of the following ML areas: Computer Vision, NLP, GenAi, AR/VR, Document Intelligence, or similar areas.
- In-depth experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs) and Generative AI.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
- Published research in the field of Machine Learning or AI is highly desirable.
- Excellent written and verbal communication skills.
- An advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Physics, Engineering, or a related field.
- 10+ years' experience overall. Must have a minimum of 5 years' experience in a similar role.
- Experience in the semiconductor industry is a plus.
- Ongoing professional development in Machine Learning and Artificial Intelligence domains is expected.
