Research Scientist, Speech & Audio

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $160k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Define how Innodata designs, structures, and evaluates audio data for speech and audio models • Translate speech and audio model requirements into data specifications covering modalities, transcription and annotation schemas, sampling, and evaluation criteria • Build evaluation methodologies covering semantic accuracy, noise and accent robustness, code-switching, diarization error rate, speech naturalness and intelligibility, and streaming latency • Structure, enrich, and sample audio across languages, accents, acoustic conditions, demographics, emotional and paralinguistic range, scripted and spontaneous speech, and speaker configurations • Partner with transcription and linguistics leads to develop transcription specifications and quantify their impact on model results • Partner with audio solutions and engineering teams to ensure collected audio meets model objectives • Run fine-tuning and evaluation experiments with ablations linking data choices to measurable improvements • Design adversarial and stumping evaluations to identify speech-system failures • Publish benchmarks, methodology, and research papers • Work with annotation teams, subject-matter experts, and synthetic- and augmented-audio pipelines to operationalize specifications • Partner directly with customers and frontier labs building ASR, text-to-speech, speech-to-speech, conversational voice, diarization, and audio-language models

🎯 Requirements

• Roughly 5+ years of hands-on industry experience in speech or audio ML • A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required • Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals • Fluency in ESPnet, NeMo, SpeechBrain, Kaldi, HuggingFace, forced alignment, WER/CER, and related speech metrics • Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech • Experience with synthetic or augmented audio, including TTS pipelines, noise and room-response simulation • Built evaluation sets and reasoned about dataset coverage across conditions • First-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS • Ability to work directly with customer and frontier-lab research scientists • Ability to explain data and modeling decisions clearly to expert and non-expert audiences • Rigorous, reproducible approach to experiments and documentation • Interest or hands-on experience in responsible-AI evaluation and red-teaming is a bonus