Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages (e.g., Python, C , Java, or Go), or 1 year of experience with an advanced degree.
• 1 year of experience with one or more of the following: Natural Language Processing (NLP), deep learning, user modeling, reinforcement learning, or specialization in another Machine Learning (ML) field.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, large-scale data processing, debugging).

Preferred qualifications:

• 
  
  Master's degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  
  
• 2 years of experience with data structures and algorithms, and software design optimization.
• Experience with applied machine learning techniques (e.g., DNNs, transformers) and analyzing large-scale user interaction signals.
• Experience in performing statistical data analysis and deriving insights from complex datasets or user logs.
• Experience developing accessible technologies.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer or Research Scientist, you will lead a long-term initiative focused on holistic user behavior modeling. In this role, you will pioneer methods to jointly model language alongside multimodal signals including visual, audio, text, and user actions. Your research will be directly applied to our core products, driving measurable quality improvements.

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.

The US base salary range for this full-time position is $141,000-$202,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and build infrastructure to process large-scale datasets and perform statistical data analysis to derive actionable insights.
• Apply advanced models to optimize and improve core products, focusing on enhancing user experience and system efficiency.
• Collaborate with cross-functional partners to integrate research findings into large-scale production systems and measurement frameworks.
• Lead and steer projects separately in a changing environment, adapting quickly to new information and evolving technology landscapes.
• Build and evaluate new models using large-scale datasets.

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Requisition #: 136061652708532934

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