Staff Software Engineer, Machine Learning Experimentation

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development and with data structures/algorithms in either (C++ OR Python).
• 5 years of experience with Machine Learning (ML) design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience in a technical leadership role leading project teams and setting technical direction.

Nice to haves:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with large-scale distributed systems and scheduling infrastructure (e.g., Slurm, Borg, Xborg, Flume).
• Experience with build systems and infrastructure (e.g., Blaze, Bazel, etc.).
• Experience in measuring and improving system performance (e.g., profiling, system optimization).
• Experience with building developer tools.

What you'll be doing:

• Drive improvements in researcher and ML developer productivity and enable new ML use cases through advancements in internal tooling and scheduling infrastructure.
• Lead efforts to optimize Machine Learning development processes at Google, focusing on reducing bottlenecks and building solutions to radically increase developer velocity on timelines, including improvements in code building, packaging, and TPU scheduling.
• Provide technical leadership and mentorship, particularly for new London team members, while fostering a collaborative, inclusive, and innovative team environment that encourages knowledge sharing and growth.
• Develop and execute plans by collaborating with Google DeepMind and internal partners to build relationships, understand user needs, prioritize work, identify emerging research areas, and translate them into practical solutions.
• Write product or system development code and participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Perks and benefits:

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