Machine Learning Engineer designing post-processing test suites for AI interaction systems at Plaud Inc. Collaborating on speech algorithm training and user experience optimization in San Francisco.
Responsibilities
Design and iterate on "post-processing" test suites and automated evaluation platforms for multilingual, multi-model online systems, covering hallucinations, casing, formatting (numbers/punctuation), and segmentation (chunking/forced breaks).
Establish specialized evaluation benchmarks for LiveAgent systems, focusing on VAD false triggers, interruption latency, and turn-taking transitions.
Resolve "high-friction" issues—such as hallucinations, casing inconsistencies, and poor segmentation—that negatively impact user experience, achieving SOTA precision on par with industry leaders.
Optimize VAD, barge-in (interruption) models, and turn-taking strategies to minimize end-to-end latency and False Interruption Rates, benchmarking against top-tier global voice assistants.
Requirements
1–3 years of hands-on experience in speech algorithm training with a focus on speech pre/post-processing or the optimization of Full-Duplex voice interaction systems.
Proven experience in ASR pre-processing (e.g., VAD, denoising) or post-processing (e.g., ITN, punctuation, text normalization).
A track record of publishing at top-tier speech conferences (e.g., Interspeech, ICASSP) or a portfolio of speech-related invention patents.
Benefits
Top-tier healthcare for employees and dependents, including dental and vision, and a generous employer subsidy.
401(k) plan for full time employees with company matching.
Unlimited PTO, plus 13 paid holidays.
12 weeks of paid time off to spend time with your new family, regardless of gender.
Minimum of 3x in office per week.
New hires are equipped with their choice of new top-of-the-line laptops and workstation setups.
Best office equipment. Annual offsites. Free office drinks and snacks.
Job title
Machine Learning Engineer – Live Agent, Post-Processing
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