Senior Staff Research Engineer, Speech Machine ...

Senior Staff Research Engineer, Speech Machine Learning (ASR)Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc.OverviewFor this position we are expanding our Advanced Intelligence Labs (AILs) voice technology and features to include advanced research and projects in Wake word detection, Automatic Speech Recognition (ASR), that includes Acoustic and Language Modeling, and personalization. We also work on language and gender detection using speech signals, Speaker identification, verification and diarization techniques. At AIL we perform state-of-the-art research in multi-lingual/accents research and bringing those research ideas to production. We are looking for candidates with extensive expertise in Digital Signal/Speech Processing with Speech recognition specialization, demonstrated research expertise by publishing papers in reputed journals/conferences, excellent knowledge of Deep/Machine Learning with 7+ years of industry experience. Candidates are expected to work in a fast paced environments.ResponsibilitiesArchitect and design end to end Automatic Speech Recognition products, applications and solutions for specific business needs and provide implementation guidance during deliveryLeverage, customize and implement ASR models, algorithms, and methodologies to improve the overall quality ASR in various applications and systemsAnalyze and evaluate the performance ASR systems and provide design recommendationsAnalyze and make right technological choices for generative ai solutionsDesign and prototype reusable components for LLM based solutions for ASRArchitect components of an ASR solution to address Responsible AI & SecurityCollaborate seamlessly with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that the language model meets the needs and expectations of various stakeholdersCreate and maintain comprehensive technical documentation that comprehensively captures the intricate details of the language model, facilitating seamless understanding, efficient troubleshooting, and future developmentHarness the power of transformer architecture, a cutting-edge deep learning model widely employed in natural language processing and computer vision, to optimize the language model's performance and efficiencyExploiting the transformative capabilities of transformer architectures to seamlessly process and reshape vast volumes of data, empowering the language model to achieve unprecedented levels of accuracy and versatilityEnsure ethical AI development practices, prioritizing fairness, transparency, and privacyRequired SkillsMS or Ph.D. in Computer Science or Digital Signal Processing or equivalent combination of education, training, and experience7+ years of relevant professional experience in Machine Learning or relevant fieldExperience with Tensorflow or Pytorch or similar frameworksWorked on advance architectures such as transformers, conformer and other advanced models for ASR systemsWorking experience on ASR in large scale production systemsExperience in modeling ML algorithms on GPUs at scaleExperience with multi-lingual speech, low resource speech research and architecturesWorking experience on deploying recognition engines on both server and edge devicesExperience with Acoustic modeling, noise and ambient modeling, and its effects on ASRKnowledge of state-of-the-art Large Language models such as Deepseek, GPT, BERT variants and other deep fusion techniques is essentialWorking on WFST, n-gram and other shallow fusion techniques for named entity recognitionsExperience on speaker recognition, wakeup and audio-based language recognition is desirableExperience with improving ASR performance in far field and noisy environmentsWorking experience on masking and spectral restoration based noise suppression and speech enhancement techniquesExperience in developing advance classification models such as ECAPA-TDNN for speaker, gender classificationsAbility to develop project plans and experience to execute themResearch expertise in ML and written research publicationsLeadership ability to lead a mid-size teamBase Pay Range$197,800 - $296,600 USDAdditional InformationDisclosure of Trade SecretsSamsung has a strict policy on trade secrets. 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Created: 2025-09-21