Senior Software ML Engineer, AI/ML GenAI, Gemini Enterprise

• Lead the technical development of agentic features to transform enterprise productivity.
  
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  
• Triage product or system issues and debug, track, and resolve them by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  
• Design and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in software development with one or more programming languages.
• 2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.
  
• 1 year of experience with GenAI concepts such as language modeling or computer vision.

Preferred qualifications:

• Master’s degree or PhD in Computer Science or a related technical field.
• Experience in machine learning modeling and tech leadership roles.
• Proficiency in Python, C++.
• Experience building production-grade LLM-based applications and working with Google internal infrastructure.
• Track record of innovation and critical thinking in solving technical problems.

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 5 years of experience in software development with one or more programming languages.
• 2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training.
  
• 1 year of experience with GenAI concepts such as language modeling or computer vision.