Research Scientist, Speech, Language and Machine Learning

$161,000 - $239,000/Yr

Google - Mountain View, CA

Full-time - Mid Level

Mountain View, CA

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About the position

As a Research Scientist at Google, you will be responsible for leading research initiatives in speech, language, and machine learning. This role involves setting up large-scale tests, deploying innovative ideas, and managing project deadlines while applying cutting-edge theories to develop new products and technologies. You will also contribute to the research community by publishing findings and collaborating with academic institutions worldwide.

Responsibilities

• Author research papers to 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 for research projects.
• 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, 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 with company matching
• Paid time off
• Parental leave
• Employee stock purchase plan
• Tuition reimbursement
• Professional development opportunities