Staff Research Engineer, Applied ML
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in applied machine learning, including leading projects from research to production.
- Experience building and leading engineering or research teams.
- Experience in Python and ML frameworks like JAX, TensorFlow, or PyTorch.
- One or more publications in top-tier ML/AI conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR).
Preferred qualifications:
- Master's degree in Computer Science, a related technical field, or equivalent practical experience.
About the job
The Domain Applied ML (DAML) team is a high-impact group within Core ML. Our mission is to accelerate the adoption of state-of-the-art AI across Google. We partner with Google Research and DeepMind to translate their breakthroughs (like Gemini) into standardized, efficient solutions. By addressing issues from 0-to-1 prototyping to 1-to-10 scaling, we allow Google’s product areas to innovations with massive quality, performance, and productivity gains.
Responsibilities
- Act as the technical expert for a small, high-impact team. Guide research directions and mentor team members through your own direct contributions.
- Lead the end-to-end research process, from defining novel problems and prototyping solutions to publishing results and partnering with product teams to ship features.
- Shape and execute the team's technical roadmap by collaborating with stakeholders in Google Research, DeepMind, and product areas to identify and pursue high-impact opportunities.
- Utilize and advance cutting-edge techniques on Google's infrastructure. Your work will involve Python, JAX/TensorFlow, and focus on areas like parameter-efficient tuning (PET), multimodal modeling, and agentic systems using models like Gemini.
- Research and product by translating complex technical concepts into actionable plans and user value, while advocating research excellence through publications in conferences and open-source contributions.
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