{"schema_version":"onlylabs.public_signal.v1","title":"Together AI Job: Staff Machine Learning Engineer, Voice AI ","description":"Together AI job signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/6c4a6446-97e3-4d63-8e3c-0027403c5056","json_url":"https://onlylabs.fyi/signals/6c4a6446-97e3-4d63-8e3c-0027403c5056/signal.json","generated_at":"2026-06-11T04:13:50.516397+00:00","org":{"slug":"together-ai","name":"Together AI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/together-ai","dossier_json_url":"https://onlylabs.fyi/labs/together-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/6c4a6446-97e3-4d63-8e3c-0027403c5056","signal_json":"https://onlylabs.fyi/signals/6c4a6446-97e3-4d63-8e3c-0027403c5056/signal.json","source":"https://job-boards.greenhouse.io/togetherai/jobs/5140763007","lab_dossier":"https://onlylabs.fyi/labs/together-ai","lab_dossier_json":"https://onlylabs.fyi/labs/together-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/together-ai","analysis_json":"https://onlylabs.fyi/analysis/together-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/together-ai/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/hiring","topic_signals_json":"https://onlylabs.fyi/topics/hiring/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/hiring/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Together AI opened Staff Machine Learning Engineer, Voice AI  (San Francisco). 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category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/6c4a6446-97e3-4d63-8e3c-0027403c5056/signal.json","required":true},{"label":"source","url":"https://job-boards.greenhouse.io/togetherai/jobs/5140763007","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/together-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/together-ai/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/hiring/signals.json?category=neocloud","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Together AI's job signal \"Staff Machine Learning Engineer, Voice AI \" for neocloud strategy."},"semantic_triples":[{"subject":"Together AI","predicate":"opened","object":"role Staff Machine Learning Engineer, Voice AI ","text":"Together AI opened role Staff Machine Learning Engineer, Voice AI ."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"is classified as","object":"job signal","text":"Staff Machine Learning Engineer, Voice AI  is classified as job signal."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"belongs to","object":"hiring desk","text":"Staff Machine Learning Engineer, Voice AI  belongs to hiring desk."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has context","object":"San Francisco","text":"Staff Machine Learning Engineer, Voice AI  has context San Francisco."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Staff Machine 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leading indicators for teams, locations, infrastructure needs, eval work, data demand, and commercialization buildout.."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has source host","object":"job-boards.greenhouse.io","text":"Staff Machine Learning Engineer, Voice AI  has source host job-boards.greenhouse.io."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has lab","object":"Together AI","text":"Staff Machine Learning Engineer, Voice AI  has lab Together AI."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has signal desk","object":"hiring","text":"Staff Machine Learning Engineer, Voice AI  has signal desk hiring."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has source host","object":"job-boards.greenhouse.io","text":"Staff Machine Learning Engineer, Voice AI  has source host job-boards.greenhouse.io."},{"subject":"Staff Machine Learning Engineer, Voice AI ","predicate":"has 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Engineer, Voice AI  (San Francisco). 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Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR → LLM → TTS) toward..."},"evidence_pages":[{"url":"https://job-boards.greenhouse.io/togetherai/jobs/5140763007","final_url":"https://job-boards.greenhouse.io/togetherai/jobs/5140763007","title":"Staff Machine Learning Engineer, Voice AI ","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T04:13:50.516397+00:00","bytes":54177,"raw_path":"8de46ea162200d2ecb672b544e09384e5556ce70a603fb47e4f91ae23807f3ad.html","content_hash":"6f36f741a8aa619aff14f768e275ba6de2c102b5896ca006b877838424b94126","excerpt_chars":1200,"truncated":true,"excerpt":"Job Application for Staff Machine Learning Engineer, Voice AI at Together AI Back to jobs Staff Machine Learning Engineer, Voice AI San Francisco Apply About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges — streaming audio, tokenization, real-time latency budgets — that require dedicated ML engineering focus. 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