Staff Research Engineer, Applied ML

Requirements:

• 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, and experience in areas like natural language processing (NLP), computer vision, and generative AI

Nice to haves:

• Experience with generative models (e.g., diffusion models, GANs, transformers) for various media formats (e.g., text, image, video, audio), including prompt engineering, fine-tuning, and evaluation techniques
• Experience with RL algorithms and frameworks, including policy gradient methods, Q-learning, and actor-critic architectures
• Experience building and leading high-performing research or engineering teams, fostering a positive and inclusive culture
• Experience being published in ML/AI conferences or journals, demonstrating a strong research background and ability to communicate complex technical concepts effectively
• Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior

What you'll be doing:

• 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

Perks and benefits:

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