Audio Machine Learning Scientist - Framingham, United States - Bose

Bose Framingham, United States

2 weeks ago

Description

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Audio Machine Learning Scientist

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locations

Germany, Work from Home

US, MA - Framingham

time type

Full time

posted on

Posted 2 Days Ago

job requisition id

R26781

You know the moment.

It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most.

At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for nearly 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical.

The engineering team at Bose is a thriving, passionate, deeply skilled team of professionals from a broad range of disciplines and experiences, who share a common goal—to create products that provide transformative sound experiences.

Job Description

ABOUT BOSE
You know the moment.

It's

the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello.

"

It's

in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. And

we've

dedicated ourselves to improving it for

nearly 60

years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, "I can make this better,"

we've

been relentlessly pushing forward to the next best thing.
Innovation is more than what we do.

It's

who we are — constantly learning and constantly curious. We never stop imagining what

better

sound sounds like.

We're

music fanatics and audio engineers.

We're explorers and inventors and dreamers.

And

we're

passionate down to our bones about making whatever

you're

listening to a little more magical.

THE ROLE
Join our team which specializes in AI-driven audio processing algorithms built for real-time execution on physical devices.

Our focus spans diverse applications including voice pickup,

home theater,

hearing augmentation, and potential innovations yet to be explored.

As a team member, you will collaborate closely with experts in machine learning, digital signal processing, software engineering, and psychoacoustics to conceptualize, prototype, and implement groundbreaking algorithms.

Our ongoing research agenda encompasses a wide spectrum of topics within machine learning and audio signal processing. Key interests include advancing
MLmethodologies for both single- and multi-channel audio processing, source separation,

perceptually driven

speech enhancement, and developing lightweight, low-latency models tailored for resource-constrained devices.
As a candidate, your responsibilities

will involve spearheading research efforts into immersive

ultra-low

latency audio processing algorithms, with a particular emphasis on applications relevant to hearing aids and consumer electronics. Your contributions will span the entire

research-to-production

pipeline, encompassing the development of innovative deep learning architectures for speech enhancement and augmented hearing experiences, integration and optimization of acoustic and DSP frontends, and the deployment of models to production environments while ensuring robustness and scalability.

At Bose, we have a rich legacy of blending inventive thinking with

cutting-edge

technology in the audio domain. We seek individuals who share our passion for both machine learning and audio innovation, and who ar

e

e eager to play a pivotal role in shaping the future of Bose. If

you're

excited by the prospect of pushing the boundaries of

what's

possible in audio processing, we encourage you to join us in this exciting journey.
Responsibilities
D

evelop innovative algorithms and

prototype

them

into real-world experiences

.

Follow

closely

with industrial competition and academic progre

ss

ion on related

technologies.

Develop deployment and validation process for research algorithms.

Support product development teams on porting research algorithms

.

Maintain

and

drive

progress

ion

on

research codebase.

Requirements

:

G

raduate-level degree in ML, Computer Science, Music

Technology

or a related field.

E

xperience

in

audio machine learning and signal processing

research

.

Including

,

but not limited to

:

Publication in top-tier academic DSP &
MLvenues

(ICASSP, Interspeech, EUSIPCO, WASPAA, ICML, NeurIPS, etc)

S

trong

portfolio

i

n industrial research

P

roven

track record

in

open

source research projects.

Familiarity with

state-of-the-art

algorithms

in

speech enhancement

and

source separation.

Experience with real-time audio processing.

Proven

track record

of

lead

ing

research projects.

Familiar with

methods for spatial audio synthesis and/or room acoustics analysis/simulation.

Strong verbal and

wri

tten communication skills

Skills:
Language:

Python, C/C++

, Matlab

Deep learning libraries:

Tensorflow

,

PyTorch

MLDeployment:

TFlite

,

Onnx

,

Core
ML
Other supporting libraries:

Librosa

,

numpy

,

scipy

,

speechmetrics

, Pandas, Matplotlib

ML
d

ata

pipeline

s

:

, Torch

dataset and

dataloader

Familiar with

ML
servers

,

including

GPU machine

resource

managements

Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process.

Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice.

We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.

If you believe you need a reasonable accommodation, please send a note to

We're a company built on disruptive innovation—having the courage to challenge the status quo, an unwavering commitment to our customers, and the fundamental belief that anything is possible.

We never settle; we have a passion for discovering better ways to help people enjoy the things they love. We need people like you, people with better solutions. If you join us, you'll find the opportunity to do your best work and the freedom to enjoy it. Here, every employee has the opportunity to build their own success and contribute to ours. It's an atmosphere of trust, collaboration, high expectations, and great reward.

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