Research Scientist, Speech, Language and Machine Learning

$161,000 - $239,000/Yr

Google - New York, NY

Full-time - Senior

New York, NY

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Research Scientist at Google, you will lead research initiatives in speech, language, and machine learning, focusing on developing innovative solutions and technologies. Your role will involve setting up large-scale tests, managing project deadlines, and contributing to the research community through publications. You will work on real-world problems across various domains of computer science, including machine learning and natural language processing, while collaborating with teams across Google and external partners.

Responsibilities

• Author research papers to share and generate impact of research results across functions and in the research community.
• Help in growing the research business by sharing research trends within the community.
• Drive project work by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation.
• Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators.
• Help in long-term research and plans to expand the impact of Google research.
• Identify defined problems/gaps in existing technology and engage stakeholders and leaders to address them.

Requirements

• PhD degree in Computer Science or a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• Experience in speech research, acoustic modeling, and automatic speech recognition (ASR).
• One or more scientific publication submissions for conferences, journals, or public repositories.

Nice-to-haves

• 2 years of experience in coding.
• 1 year of experience leading research efforts and influencing other researchers.
• Experience with multilingual, low resource speech recognition.
• Experience leading projects in machine learning, speech recognition, natural language processing, machine translation, text-to-speech, and keyword search.
• Experience with Text to speech and bringing latest machine learning methods to expressive synthesis.
• Experience with components of a speech recognition system including acoustic, language modeling, and decoder search.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid volunteer time
• Flexible scheduling
• Professional development opportunities
• Employee stock purchase plan