{"schemaVersion":"jobsearcher.job.v1","id":"cf0468ecc404314743d4e7fa","url":"https://jobsearcher.com/jobs/cf0468ecc404314743d4e7fa","canonicalUrl":"https://jobsearcher.com/jobs/cf0468ecc404314743d4e7fa","title":"Research Engineer","description":"Research Engineer (Voice / Speech AI)\r\nSan Francisco, CA (Onsite)I am seeking a Research Engineer to join a frontier AI research lab building the next generation of real-time conversational voice systems. Rather than building traditional AI assistants, this team is creating full-duplex AI companions that can naturally participate in live multiplayer experiences: listening, responding, interrupting appropriately, understanding shared context, and interacting alongside human players in real time.Alongside building production voice agents, the team also operates as a voice research lab, producing research-grade speech datasets, evaluations, and tooling that support frontier AI research across the wider ecosystem.What We're Looking For:Experience researching speech foundation models or voice AI systemsHands-on experience training, fine-tuning, evaluating, and benchmarking speech modelsExperience working on streaming or low-latency speech systemsExposure to full-duplex conversational models such as Moshi , PersonaPlex , or similar research is highly desirablePublications at leading speech, audio, or machine learning conferences (ICASSP, Interspeech, NeurIPS, ICML, ICLR, etc.) are a significant advantageStrong machine learning research background with the ability to translate research into production systemsWhat You'll Do:Research and prototype ultra-low latency streaming and full-duplex speech systemsDevelop speech foundation models, including cascaded (ASR → LLM → TTS) and speech-to-speech architecturesImprove conversational behaviours including turn-taking, interruption handling, timing, prosody, and emotionTrain, fine-tune, benchmark, and evaluate state-of-the‑art speech modelsDesign evaluation frameworks that measure conversational quality and social presence—not just transcription accuracyWork across model research, inference optimisation, data generation, and production deploymentCollaborate closely with researchers building frontier multimodal and voice foundation modelsThis is a genuinely research-focused opportunity for someone who wants to push the boundaries of speech AI. You'll be tackling challenges around conversational timing, streaming inference, interruption handling, latency optimisation, and voice quality—building systems that feel socially present rather than simply responsive.Based in downtown San Francisco , the team works fully onsite and offers highly competitive compensation alongside meaningful equity as they continue to build one of the most ambitious voice AI research groups in the industry.Ethan Lewiselewis@acceler8talent.com#J-18808-Ljbffr","company":"Acceler8","rawCompany":"acceler8","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T03:07:19.307Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"29-1127.00","title":"Speech-Language Pathologists","slug":"speech-language-pathologists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541930","title":"Translation and Interpretation Services","slug":"translation-and-interpretation-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer","description":"Research Engineer (Voice / Speech AI)\r\nSan Francisco, CA (Onsite)I am seeking a Research Engineer to join a frontier AI research lab building the next generation of real-time conversational voice systems. Rather than building traditional AI assistants, this team is creating full-duplex AI companions that can naturally participate in live multiplayer experiences: listening, responding, interrupting appropriately, understanding shared context, and interacting alongside human players in real time.Alongside building production voice agents, the team also operates as a voice research lab, producing research-grade speech datasets, evaluations, and tooling that support frontier AI research across the wider ecosystem.What We're Looking For:Experience researching speech foundation models or voice AI systemsHands-on experience training, fine-tuning, evaluating, and benchmarking speech modelsExperience working on streaming or low-latency speech systemsExposure to full-duplex conversational models such as Moshi , PersonaPlex , or similar research is highly desirablePublications at leading speech, audio, or machine learning conferences (ICASSP, Interspeech, NeurIPS, ICML, ICLR, etc.) are a significant advantageStrong machine learning research background with the ability to translate research into production systemsWhat You'll Do:Research and prototype ultra-low latency streaming and full-duplex speech systemsDevelop speech foundation models, including cascaded (ASR → LLM → TTS) and speech-to-speech architecturesImprove conversational behaviours including turn-taking, interruption handling, timing, prosody, and emotionTrain, fine-tune, benchmark, and evaluate state-of-the‑art speech modelsDesign evaluation frameworks that measure conversational quality and social presence—not just transcription accuracyWork across model research, inference optimisation, data generation, and production deploymentCollaborate closely with researchers building frontier multimodal and voice foundation modelsThis is a genuinely research-focused opportunity for someone who wants to push the boundaries of speech AI. You'll be tackling challenges around conversational timing, streaming inference, interruption handling, latency optimisation, and voice quality—building systems that feel socially present rather than simply responsive.Based in downtown San Francisco , the team works fully onsite and offers highly competitive compensation alongside meaningful equity as they continue to build one of the most ambitious voice AI research groups in the industry.Ethan Lewiselewis@acceler8talent.com#J-18808-Ljbffr","datePosted":"2026-11-04T03:07:19.307Z","dateModified":"2026-11-04T03:07:19.307Z","hiringOrganization":{"@type":"Organization","name":"Acceler8","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cf0468ecc404314743d4e7fa"},"url":"https://jobsearcher.com/jobs/cf0468ecc404314743d4e7fa"}}