Google is seeking a Research Scientist to join their Google Translate team, focusing on advancing machine translation and multilingual capabilities in Large Language Models. This role combines cutting-edge research with practical applications that impact billions of users across Google's products, including Gemini, Search, Cloud, and more.
The position requires a PhD in Computer Science or related field, with demonstrated expertise in Natural Language Processing and Machine Learning. The ideal candidate will have experience with deep learning frameworks and a track record of scientific publications in NLP/ML conferences. Strong Python programming skills and experience in experimental design and statistical analysis are highly valued.
As a Research Scientist, you'll work on fundamental research problems while having the freedom to pursue innovative solutions. Your responsibilities will include developing novel techniques for improving translation quality, conducting experiments, and creating evaluation methods for machine translation and LLM performance. The role offers the opportunity to contribute to the wider research community through publications and collaborations with universities and technical institutes worldwide.
The position offers competitive compensation ranging from $136,000 to $200,000, plus bonus, equity, and comprehensive benefits. You'll be working at Google's Mountain View location, joining a team that's at the forefront of breaking down language barriers through advanced AI technology. This is an excellent opportunity for researchers passionate about making a real-world impact while advancing the field of natural language processing and machine translation.
The role combines academic research with practical applications, offering the chance to work on projects that directly influence how billions of people communicate across language barriers. You'll be part of Google's broader research organization, which maintains a balance between fundamental research, product innovation, and infrastructure goals, while providing the freedom to emphasize specific types of work.