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About the Role
Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Our products handle information at massive scale and extend beyond web search. We seek engineers with fresh ideas from diverse areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile. As a software engineer, you will work on critical projects with opportunities to switch teams and projects as our business grows. We need versatile engineers with leadership qualities, enthusiastic about tackling new problems across the full stack.
Responsibilities
- Build large-scale multimodal models of human attention and behavior using novel interaction signals, machine learning (ML), data analysis, natural language processing (NLP), and computer vision.
- Develop and evaluate ML models on large-scale user logs to predict behavior, and build the infrastructure for model training and serving.
- Run statistical analysis to find insights and publish research papers that contribute to ML, NLP, and computer vision.
- Share results with the partner Product Area (PAs) to drive design and launch decisions.
- Work closely with PAs to fold models into products like Gemini and Search and make quality measurably better.
- Lead research projects independently, adapt to new information, and communicate findings within a collaborative team.
Requirements
- 2 years of experience programming in Python or C++.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with end-to-end Machine Learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Skills
- Python
- C++
- Speech/audio
- Reinforcement learning
- ML infrastructure
- Machine Learning
- Data analysis
- Natural language processing (NLP)
- Computer vision
- LLMs
- jax/pytorch
Location
- US
Work Type
- Full-time
Experience Level
- 2 years of experience
- 1 year of experience
Education Level
- Bachelor’s degree or equivalent practical experience.
- PhD in computer science or related field.
Salary/Compensations
- $147000 - $210000 (USD) + 15% bonus target + equity
Benefits
- Benefits at Google
About the Company
- Google Research addresses challenges that define the technology of today and tomorrow.
- From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
- Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.