Principal Software Engineer, ML System Architect

Job Description

You will architect and build a unified, large-scale AI platform leveraging Google DeepMind's latest foundation models. This role involves defining the technical roadmap and leading the unification of existing models and tools into a cohesive platform.

Requirements: Candidates should have a Master's degree or PhD in Computer Science or a related field, with 12+ years of experience in software engineering and a strong focus on large-scale machine learning systems. Deep expertise in Python, C++, and ML frameworks is essential, along with technical leadership skills.

Key Skills: Machine Learning, Software Engineering, Architectural Design, Python, C++, Deep Learning, AI Infrastructure, Distributed Training, APIs, Data Pipelines, Tokenization, Technical Leadership, Communication, Model Development, Simulation Systems, Generative Models

Benefits: Annual Bonus Program, Equity Incentive Plan, Generous Company Benefits Program