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Speech AI Senior Engineer

  • Posted 5 hours ago
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Job Description

VINFAST is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence.

The Speech & Language Processing (SLP) Center – Automotive AI Development Institute , is responsible for researching, developing, and deploying advanced Agentic AI and VoiceAI solutions, applied in vehicles and extended to other group-wide use cases such as robotics and AI assistants.

We're looking for people with relevant experience, passion, and drive — ready to challenge themselves, keep learning, and thrive under high pressure to help build innovative products.

In this role, you will be instrumental in the Speech & Language Processing (SLP) Center, using your skills to build large-scale data pipelines and train advanced Speech AI models. You will collaborate with diverse teams, including AI research, software engineering, and hardware integration teams, to create cutting-edge solutions that will drive the future of transportation.

  • Design, build, and maintain scalable, large-scale speech data pipelines and datasets, covering data collection, cleaning, noise reduction, alignment, formatting, annotation management, and data augmentation.
  • Design and execute training, post-training, and fine-tuning pipelines (including pretraining, supervised fine-tuning SFT, and RLHF/alignment) to develop state-of-the-art Speech AI models like ASR, TTS, and Speech-to-Speech for Vietnamese language and regional accents.
  • Optimize, deploy, and collaborate with cross-functional teams to integrate speech models into conversational systems and voice assistants

Requirements

  • Bachelor's Degree or higher in Computer Science, Artificial Intelligence, or related fields.
  • Minimum 2 years of experience in AI/ML, with a focus on speech processing (ASR, TTS, etc.) or related fields.
  • Strong experience in building large-scale speech data pipelines and managing speech datasets.
  • Proven experience in training, post-training, and fine-tuning Vietnamese speech models.
  • Proficient in Python and deep learning frameworks (PyTorch, TensorFlow) with a strong understanding of neural architectures (Transformers, Diffusion models, VAEs, etc.).
  • Good English proficiency to read and understand technical documentation and research papers.
  • Preferred: Publications in top-tier AI/speech conferences (e.g., Interspeech, ICASSP, NeurIPS).

Benefits

  • Competitive salary
  • Premium healthcare package, including PVI insurance & annual health check-ups
  • 13th-month salary & performance bonuses to reward your contributions
  • Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...
  • Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain

Work Location: Technopark Tower, Vinhomes Ocean Park, Gia Lam, Hanoi, Vietnam

With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking Apply, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy (Policy) posted at https://vinfastauto.com/vn_vi/dieu-khoan-phap-ly or https://vinfast.vn/privacy-policy/ , you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection.

To all recruitment agencies : VinFast does notaccept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.

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Job ID: 152485103

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