Software Engineer, Android AI

• Design, build, and optimize the end-to-end machine learning systems and models that power android's next-generation AI agent. Translate ambiguous user needs and product goals for agentic AI into well-defined technical problems and Machine Learning (ML) solutions.
• Architect and implement data pipelines for collecting, cleaning, and processing the massive datasets required for training and fine-tuning ML models.
• Lead core machine learning model development and optimization, prioritizing on-device performance and user privacy. Establish evaluation frameworks to ensure AI features are reliable, helpful, and personalized.
• Collaborate closely with engineers, researchers, and product managers to integrate ML models and agentic capabilities into the Android ecosystem.
• Stay at the forefront of advancements in Large Language Models, AI agents, and on-device machine learning, and advocate the adoption of new techniques to solve issues.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• 2 years of experience in applied machine learning or machine learning research.
• Experience in Natural Language Processing, Large Language Models, and Computer Vision.
• Proficiency in one of the following programming languages: Python, Kotlin, or Java.

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).