plaud - Machine Learning Engineer (Speech/Audio) - Singapore
Responsibilities
• Own large-scale speech/audio data pipelines: build and maintain systems for data collection, cleaning, filtering, labeling, augmentation and quality control to support model training. Partner with senior speech engineers on term/hotword mining strategies based on ASR system output. • Support model training and optimization: contribute to fine-tuning and evaluating speech/language models (SpeechLLM or general LLM background both applicable), with focus on improving recognition accuracy for code-switching, names, and product terms — working alongside domain specialists on the technical algorithm design. • Domain adaptation: help fine-tune models using scenario-specific data to improve recognition of industry-specific terms across key languages and verticals. • Evaluation: build test sets and evaluation frameworks (keyword/domain-lexicon based); benchmark internal models against open-source and commercial baselines. • Skills, qualifications and experience we look for • 3+ years of hands-on experience in speech, machine learning, or large-scale data engineering. • Experience in AT LEAST ONE of the following: • a) ASR/SpeechLLM model training, fine-tuning, or evaluation; • b) LLM or general ML model training/fine-tuning; • c) Large-scale audio, video, or text data pipeline work (e.g., tens of thousands of hours of audio, or TB-scale multimodal data). • Solid Python and PyTorch fundamentals. • Experience with distributed data processing (e.g., Spark, Ray) — moved up from nice-to-have, since responsibility #1 requires pipeline ownership at scale. • Familiarity with SpeechLLM / speech SSL concepts, or exposure to models such as StepAudio or Qwen3-Omni. • Prior experience building or contributing to hotword/contextual-biasing or code-switching ASR improvements. • Publications at Interspeech, ICASSP, or other top AI venues, or speech-related patents. • Experience owning a data workstream (tens/hundreds of thousands of hours of speech) in a speech-model training project.
Benefits
• Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think. • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. • Define the next-gen paradigm for human-AI interaction. • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. • Work with passionate teammates who value innovation, collaboration, and customer success. • Grow your career in a culture that champions continuous learning and fast career development. • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere. • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success. • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity. • Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency. • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires. • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity. • Medical & Insurance Coverage Comprehensive benefits to protect our employees' financial security, physical health, and longterm growth. Medical insurance and WICA coverage for all full-time employees.
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