Software Engineer, Applied AI, Pixel

• Contribute to the strategy for selecting, fine-tuning, and deploying foundational models to achieve specific product goals.

• Work on the deployment and optimization of large language models (LLMs) and multi-modal models for both on-device and cloud execution. This includes leveraging and improving ML infrastructure for model evaluation, data processing, and debugging.

• Contribute to the design and implementation of data collection and processing solutions. Develop evaluation frameworks to measure the real-world performance and impact of machine learning models on the user experience.

• Stay current with the latest advancements in Generative AI. Translate cutting-edge research into tangible product features that create transformative and helpful experiences for Pixel users.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in Python, Java or C++.

• 1 year of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision).

Preferred qualifications:

• Master's degree in Computer Science, specializing in Machine Learning, Artificial Intelligence, or Natural Language Processing.

• Experience independently building and contributing to the design of user-facing GenAI features, in close collaboration with product, research, and engineering teams.

• Experience with relevant technologies (e.g., JAX, Tensorflow, PyTorch).

• Strong ML fundamentals and data engineering skills, with an understanding of modern ML model evaluation techniques, including industry-standard benchmarks and metrics.