Senior Research Scientist, Audio Machine Learning

Google • Mountain View, CA • 1w ago

Minimum qualifications:

PhD degree in Computer Science, a related field, or equivalent practical experience.

2 years of experience leading a research agenda.

One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

PhD in Electrical and Computer Engineering, Acoustics, or similar field.

2 years of coding experience.

1 year of experience leading research efforts and influencing other researchers.

Experience in Python programming and ML framework (e.g., TensorFlow, JAX, and PyTorch).

Experience with International Conferences such as ICASSP, Interspeech, etc.

Experience in generative Audio Models and Audio Source Separation.

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.

In this role, you will be responsible for the algorithm development for audio use cases across Pixel product lines. You will innovate, execute, and validate audio pipelines through both offline simulation and real-time on-device hardware. You will be interacting with partner teams such as Google DeepMind and Google Silicon teams to design and modify the algorithms and software layers to impact the upcoming Google audio technology roadmap across the Pixel ecosystem.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google's artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $166,000-$244,000 + 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 (https://careers.google.com/benefits/) .

Responsibilities:

Own Machine Learning model development including model training and optimization.

Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process.

Design and fine tune ML models for Pixel devices.

Contribute to prototyping to delivery for audio features.

Collaborate with Android Pixel Audio and Google Silicon teams for feature development.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

2d ago

Go to Apply

Principal Software Engineer (CNGFW)

Palo Alto Networks • Santa Clara, CA • 2d ago

IT & Engineering

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure...

2d ago

Go to Apply

Senior Staff Software Engineer

ServiceNow, Inc. • Santa Clara, CA • 2d ago

IT & Engineering

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innov...

2d ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.