3 months ago
Singapore, SingaporeMid Level
Responsibilities
- Own large-scale speech/audio data pipelines for collection, cleaning, filtering, labeling, augmentation, and quality control.
- Partner with senior speech engineers on term and hotword mining strategies based on ASR system output.
- Contribute to fine-tuning and evaluating speech and language models to improve recognition accuracy for code-switching, names, and product terms.
- Fine-tune models with scenario-specific data to improve recognition of industry-specific terms across key languages and verticals.
- Build test sets and keyword/domain-lexicon-based evaluation frameworks.
- Benchmark internal models against open-source and commercial baselines.
Requirements
- At least 3 years of hands-on experience in speech, machine learning, or large-scale data engineering.
- Experience with ASR or SpeechLLM model training, fine-tuning, or evaluation; LLM or general ML model training/fine-tuning; or large-scale audio, video, or text data pipelines.
- Solid Python and PyTorch fundamentals.
- Experience with distributed data processing such as Spark or Ray.
- Familiarity with SpeechLLM or speech self-supervised learning concepts is preferred.
- Exposure to StepAudio or Qwen3-Omni is preferred.
- Experience with hotword or contextual-biasing improvements or code-switching ASR improvements is preferred.
- Publications at Interspeech, ICASSP, or other top AI venues, or speech-related patents, are preferred.
- Experience owning a large speech-data workstream in a speech-model training project is preferred.
Benefits
- Employee Stock Ownership Plan (ESOP).
- Medical insurance and WICA coverage for all full-time employees.
- Choice of top-spec laptops, high-performance workstation setups, and Plaud devices.
- Annual company offsites and team events.
- Access to AI productivity tools including Gemini and Claude Code.
Tech Stack
Categories
Data EngineeringML Engineering
About Plaud
Plaud builds AI-powered hardware devices and companion apps that capture, transcribe, and summarize meetings and other conversations for professionals. The company sells its consumer electronics and meeting software directly, with subscription services layered on its devices and cloud platform. Founded in 2021 and headquartered in San Francisco, Plaud is privately held and lists SOC 2, HIPAA, GDPR, and ISO 27001/27701 compliance.