Senior Software Engineer, AI/ML

• 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).
  
• Translate research into product impact and improvements in generative AI quality.
• Develop and evaluate new ML models with large scale user logs data. Build infrastructure for processing large scale data and perform statistical data analysis to derive actionable insights.
• Drive applications of ML models to improve quality for various core Google products.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.
  

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with one or more of the following: large language models, natural language processing, human computer interaction, or computer vision.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience with data structures and algorithms.
• Applied ML skills (LLMs, NLP), experience with TensorFlow, python, and building/launching ML models.
  
• Strong analytic abilities for data analysis.

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with one or more of the following: large language models, natural language processing, human computer interaction, or computer vision.
  
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).