10 hours ago
Base Salary
$147k - $210k/yr
Responsibilities
- Build large-scale multimodal models of human attention and behavior using interaction signals, ML, data analysis, NLP, and computer vision.
- Develop and evaluate ML models on large-scale user logs and build infrastructure for model training and serving.
- Conduct statistical analyses, identify insights, and publish research papers in ML, NLP, and computer vision.
- Collaborate with Product Areas to integrate models into products such as Gemini and Search and improve product quality.
- Lead research projects independently and communicate findings with collaborative teams.
Requirements
- Bachelor’s degree or equivalent practical experience.
- At least 2 years of experience programming in Python or C++.
- At least 1 year of experience with speech/audio, reinforcement learning, ML infrastructure, or another ML specialization.
- At least 1 year of experience with end-to-end ML infrastructure, including model deployment, evaluation, optimization, data processing, or debugging.
- Preferred qualifications include a PhD, experience across Research, DeepMind, and Search, Google infrastructure experience, ML specialization in NLP or computer vision with publications, strong data analysis skills, and applied ML experience with LLMs, NLP, JAX, PyTorch, Python, and launching ML models.
Benefits
- US base salary of $147000-$210000 plus a 15% bonus target, equity, and benefits.
Categories
AI ResearchML Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.