Research Scientist, Speech, Language and Machine Learning

Minimum qualifications:

• 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.

Preferred qualifications:

• 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 the areas of 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.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

The US base salary range for this full-time position is $161,000-$239,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• 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.