Staff Research Engineer, Applied ML
Description For Staff Research Engineer, Applied ML
Google is seeking a Staff Research Engineer for their Domain Applied ML team within Core ML. This role combines technical leadership with cutting-edge ML research, focusing on bridging the gap between research and production. The position requires extensive experience in machine learning, distributed systems, and software development, with a focus on implementing large-scale ML solutions.
The ideal candidate will lead a new team in London, working closely with Google Research and DeepMind to advance AI technologies across Google's products. They'll need deep expertise in ML fundamentals, including supervised, unsupervised, and reinforcement learning, plus experience with natural language processing, computer vision, and generative AI.
This role offers the opportunity to shape the future of AI applications at Google, working with state-of-the-art technologies and collaborating with world-class researchers. The position involves both technical leadership and hands-on development, requiring someone who can balance research innovation with practical implementation.
Key responsibilities include building and leading a team of ML engineers, conducting applied research, developing ML models, and creating strategic roadmaps for research implementation. The role requires 8 years of software development experience and 5 years of experience with large-scale ML systems.
Google Cloud's mission to accelerate digital transformation across industries provides a meaningful context for this work. The position offers the chance to impact billions of users while working with cutting-edge AI technologies. This is an excellent opportunity for someone passionate about advancing ML/AI technology while leading a team at one of the world's most innovative companies.
Responsibilities For Staff Research Engineer, Applied ML
- Build and lead a new team of ML engineers and researchers in London
- Collaborate with Google Research and DeepMind to identify and prioritize emerging research areas
- Conduct applied research on emerging ML/AI topics and drive the adoption of new AI technologies across Google products
- Develop and evaluate ML models for pilot projects and scalable solutions
- Develop a strategic roadmap for translating research into practical solutions
Requirements For Staff Research Engineer, Applied ML
- Bachelor's degree or equivalent practical experience
- 8 years of experience in software development and with data structures/algorithms
- 5 years of experience building and architecting large-scale, production quality Machine Learning (ML) systems
- 5 years of experience in distributed development and large-scale data processing
- Experience coding in either C++ or Python
- Experience with ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning
- Experience in areas like natural language processing (NLP), computer vision, and generative AI
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