Senior Engineer for AI/Machine Learning

ASML - San Diego, CA

Full-time - Senior

San Diego, CA

Machinery Manufacturing

About the position

The Senior Engineer for AI/Machine Learning at ASML US is responsible for designing and developing advanced GenAI applications within the core Software AI team. This role involves collaborating with business stakeholders and data engineers to translate business needs into innovative AI/ML solutions, while also communicating insights and recommendations to senior management. The position requires a deep understanding of AI technologies and methodologies, as well as the ability to lead projects and drive improvements in AI solutions.

Responsibilities

• Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions.
• Design, build, and deploy state of the art AIML models to solve complex business problems.
• Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement.
• Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions.
• Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations.
• Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering.
• Regularly research and present new ideas to improve the team's technical capabilities.

Requirements

• 10+ years of industry experience with a BS in Computer Science or related field, or 5+ years with an MS/PhD.
• Expertise in AIML modeling, Python, AIML Infrastructure, model deployment, and MLOps.
• Experience in Supply Chain, Operations, or a related field.
• End-to-end GenAI application experience.
• Knowledge in RAG, Prompt Engineering, LoRA, and other GenAI techniques.
• Ability to operate independently and lead without authority.
• Superb communication and interpersonal skills.

Nice-to-haves

• Experience in AI System Development foundational model Lifecycle training, retrieval of Augmented Systems, and Model Evaluation.
• Proficient in Large Language Models (LLMs) Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations.
• Familiarity with proprietary models like GPT-4 and Claude, and open-source models like Llama and Mistral.

Benefits

• Medical, dental, and vision insurance coverage.
• Basic life insurance.
• Participation in the company's 401k plan.
• Eight hours of vacation leave every month.
• Thirteen paid holidays throughout the calendar year.