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Senior Research Engineer, Advanced Development & Machine Learning

Department: Software

Location: Boston, Santa Barbara, Seattle

Req#: 4712

We design, create and build outstanding experiences by developing and implementing new algorithms at the intersection of audio, voice, DSP, multimodal interfaces and new technologies. 
About You

You want to be part of a team.

You come with new ideas and a unique point of view. You look forward to collaborating with a diverse team of talent. You assume everyone’s best intentions, welcome a healthy debate, and embrace differing opinions. You eagerly seek and give help. Transparency tops your list of values, and you proactively contribute to a culture of respect and inclusion.

You enjoy a challenge.

Inquisitive and focused, you see every challenge as an opportunity. You’re ambitious and comfortable making mistakes because you learn from them and bounce back quickly. You would rather create the future than wait for it. You prioritize long-term value over short-term objectives.

You love to listen.

You approach every interaction with curiosity and a desire to understand. You want to make a positive impact in the world. You’re passionate about culture and know the power that music, film, podcasts, games, and stories have to bring people together.

What You’ll Do
•  You will research, design, and prototype future Sonos systems and algorithms.
•  You will collaborate with Audio Systems Engineering, EE HW, User Experience and various SW teams.
•  You will drive innovation and push the boundaries of what we can achieve with human machine interaction and focus on speech and audio.
•  You are confident in the state of the art and expertise in your field and you are ready to bring it to the next level.
•  You will enable great user experiences by developing new algorithms. 

Skills You’ll Need
•  MS or Ph.D. in Electrical Engineering, Computer Science, Physics, Acoustics. 
•  7+ years of direct audio systems experience in product development or post graduate experience.
•  Strong background in DSP, statistical signal processing and machine learning.
•  Good mathematical understanding of audio, physics and signal processing.
•  Experience in an applied research or advanced development.
•  Developed non-trivial audio systems and/or algorithms.
•  Proven track record of delivering innovative solutions (products, patents, publications).
•  Proven ability of working effectively in complex interdisciplinary environments.
•  Proficient in C, C++, MATLAB, and/or Python.

More About Sonos

Sonos is a sound experience company. We pioneered multiroom wireless audio, made it sound amazing, and changed the way people listen, making it effortless for them to enjoy what they want, where they want, how they want.

Today we continue empowering listeners by developing new technologies, thoughtfully designing products, expanding our software platform, and crafting brilliant sound experiences while participating in a culture that values respect, transparency, collaboration, and ownership.

Together we’re working to positively impact the world and inspire everyone to listen better—because listening brings people together, builds understanding, drives change, and makes us happier.

Notice to European Job Applicants: Information you submit as a part of your job application will be used in accordance with Sonos EU Job Applicant Privacy Notice.

Notice to U.S. Job Applicants: Sonos is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Follow the links to review the EEO is the Law poster and its supplement. The pay transparency policy is available here. Sonos is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations@sonos.com and let us know the nature of your request and your contact information.