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Skill:speech processing

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1–3 jobs· newest first

Research Scientist Intern, GenAI Safety (PhD)
Meta · Menlo Park, US+1 more
On-site · Internship · Intern
Staff DSP Engineer – Audio & Voice
Stryker · Bengaluru, India
Staff
Machine Learning / AI Engineer
Bose Corporation · Remote, US
$115K–$158KRemote · Full-time · Mid

+10K new in the last hour

Research Scientist Intern, GenAI Safety (PhD)

Meta · Posted Nov 3, 2026

Menlo Park, California, United States +1 more
On-site
Internship · Intern

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AI

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Research Intern in Generative AI safety, focusing on deep learning, computer vision, audio/speech processing, NLP, and related fields.

Locations (2)

Menlo Park, California, United States
San Francisco, California, United States

Responsibilities

Develop novel state-of-the-art generative AI algorithms and corresponding systems
Help analyze and improve safety and robustness of deployed algorithms
Perform research to advance the science and technology of intelligent machines
Collaborate with researchers and cross-functional partners
Disseminate research results

Requirements

Ph.D. in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field

Skills

deep learning computer vision audio processing speech processing natural language processing machine learning reinforcement learning computational statistics applied mathematics Python C++C Java PyTorch TensorFlow

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Staff DSP Engineer – Audio & Voice

Stryker · Posted Nov 3, 2026

Bengaluru, Karnataka, India
Staff
6–8 years

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Staff DSP Engineer – Audio & Voice

Responsibilities

Develop and optimize audio algorithms including echo cancellation, noise reduction, beamforming, AGC, VAD, dereverberation, and speech enhancement.
Work on multi-microphone arrays and far-field speech capture for challenging acoustic environments.
Improve speech intelligibility in the presence of background noise, reverberation, and multiple speakers.
Analyze and optimize the complete audio path from microphone and DSP processing through the device, network, and remote endpoint.
Use objective audio-quality measurements to evaluate and improve performance.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Signal Processing, Computer Engineering, or a related field.
Nice to have: WebRTC audio processing
Nice to have: Embedded Linux
Nice to have: Android audio
Nice to have: Python

Skills

audio DSP speech processing AEC noise suppression

Machine Learning / AI Engineer

Bose Corporation · Posted Nov 2, 2026

Remote, United States
Remote
Full-time · Mid
$115K–$158K per year
3+ years

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Build and optimize machine learning models for consumer audio applications, focusing on efficient deployment on edge devices.

Compensation

The hiring range for this position in the primary work location of Remote, Massachusetts is: $115,000-$158,200

Responsibilities

Build and experiment with ML models
Improve model efficiency and reduce latency
Integrate models with software, embedded, and hardware teams
Analyze results and debug issues
Share findings and contribute to team knowledge

Requirements

Bachelor's in Computer Science
Advanced degree in Computer Science
Electrical Engineering
Machine Learning
Nice to have: C/C++

Skills

Python PyTorch TensorFlow C/C++ONNX TensorFlow Lite quantization pruning

microphone arrays

adaptive filtering

C/C++ programming

real-time embedded systems

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model compression

speech processing

acoustic sensing

Benefits

competitive base pay
bonus programs
comprehensive health and welfare benefits
401(k) plan
exclusive perks

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