ByteDance

1 day ago

Multimodal AI Algorithm Expert-EMG / Interaction Perception, PICO

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Work on multimodal interaction perception for XR, developing deep learning models that fuse surface electromyography (sEMG) signals with computer vision and IMU-based sensing. Build sEMG acquisition and preprocessing pipelines (denoising, feature extraction), design spatiotemporal fusion approaches (e.g., Transformer/LSTM/spatiotemporal CNNs), and improve robustness to sensor noise and interference to enhance generalization.

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research and develop deep learning models at the intersection of sEMG, computer vision, and IMU technologies.
•Design and implement sEMG signal acquisition pipelines; optimize signal quality and perform denoising and feature extraction preprocessing.
•Explore spatiotemporal feature fusion methods (e.g., Transformer, LSTM, Spatiotemporal Convolutional Networks) for efficient multimodal fusion.
•Handle sensor noise and interference in diverse environments; optimize model performance and improve algorithm generalization.

Key Requirements

•Master’s degree or above in machine learning, signal processing, computer science, statistics, speech and language technology, or a related field.
•Strong deep learning fundamentals with experience training and deploying deep models; familiarity with fine-tuning end-to-end speech recognition frameworks (e.g., Conformer, RNN-T, LAS, CTC) and 2D/3D perception algorithms.
•Knowledge of sEMG signal acquisition and processing, including denoising (e.g., filtering) and time/frequency-domain feature extraction.
•Experience with digital signal processing techniques such as digital filtering, Fourier transforms, correlation analysis, and modulation.
•Preferred: experience modeling high-dimensional time-series data and/or publications in conferences (CVPR, ICCV, ECCV) and participation in competitions (e.g., Kaggle, COCO, ImageNet, ActivityNet).

Experience:Multimodal AIComputer visionSpeech recognitionSignal processingTime-series dataXR

Education:Master's

Tech Stack:Computer visionDeep learningSLAM3D reconstructionMulti-sensor fusionHandheld controllersBare-hand trackingEye-trackingXRSurface electromyography (sEMG)IMUSEMG signal acquisitionSignal denoisingFeature extractionTransformerLSTMSpatiotemporal Convolutional NetworksDigital signal processingDigital filteringFourier transforms

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

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ByteDance

1 day ago

Multimodal AI Algorithm Expert-EMG / Interaction Perception, PICO

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Research and develop deep learning models at the intersection of sEMG, computer vision, and IMU technologies.
•Design and implement sEMG signal acquisition pipelines; optimize signal quality and perform denoising and feature extraction preprocessing.
•Explore spatiotemporal feature fusion methods (e.g., Transformer, LSTM, Spatiotemporal Convolutional Networks) for efficient multimodal fusion.
•Handle sensor noise and interference in diverse environments; optimize model performance and improve algorithm generalization.

Key Requirements

•Master’s degree or above in machine learning, signal processing, computer science, statistics, speech and language technology, or a related field.
•Strong deep learning fundamentals with experience training and deploying deep models; familiarity with fine-tuning end-to-end speech recognition frameworks (e.g., Conformer, RNN-T, LAS, CTC) and 2D/3D perception algorithms.
•Knowledge of sEMG signal acquisition and processing, including denoising (e.g., filtering) and time/frequency-domain feature extraction.
•Experience with digital signal processing techniques such as digital filtering, Fourier transforms, correlation analysis, and modulation.
•Preferred: experience modeling high-dimensional time-series data and/or publications in conferences (CVPR, ICCV, ECCV) and participation in competitions (e.g., Kaggle, COCO, ImageNet, ActivityNet).

Experience:Multimodal AIComputer visionSpeech recognitionSignal processingTime-series dataXR

Education:Master's

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn