Software Engineer III, Google Research, AI/ML

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• Experience in Machine Learning (ML) research and Artificial Intelligence (AI) algorithms.
• Experience with research publications.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience in Natural Language Processing (NLP) or Computer Vision (CV), specifically with LLMs, transformer architectures, information retrieval, or knowledge grounding.
• Experience designing and implementing large-scale machine learning systems in a production environment.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or JAX, and Python or C++.
• Experience with publications in AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, CVPR, etc.
• Excellent software engineering skills.

Experience in Machine Learning (ML) research and Artificial Intelligence (AI) algorithms.

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.

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

• Conduct research on Large Language Models (LLMs) with a focus on improving factuality, including knowledge retrieval, grounding, and reasoning.
• Design and execute experiments to evaluate the performance of LLMs on various factuality benchmarks and real-world tasks, analyze results, and develop novel techniques to enhance LLM factuality.
• Design and implement prototype systems that incorporate research findings, directly contributing to the advancement of Google products powered by Gemini.
• Collaborate closely with cross-functional teams to integrate research findings into Google products and initiate engagements with product teams to understand their needs and identify opportunities to apply research to improve user experience.
• Contribute to the research community by publishing findings in top academic conferences and journals.