876 to 900 of 1,269 Low Latency Jobs

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS, with a focus on natural interactions and low latency. Research & Evaluation: Benchmark, prototype, fine-tune, distill, or otherwise adapt models and algorithms when doing so can create a meaningful advantage in voice-agent quality … latency, cost, or reliability. Production ML & Backend: Design and ship production-grade services and inference components for real-time speech, partnering with platform and backend engineers to make model improvements observable, scalable, and maintainable. Cross-Functional Leadership & Mentorship: Partner with speech, NLP, telephony, platform, product, and infrastructure engineers ...

C++ software components that follow industry-standard design patterns, development methodologies, and deployment models Design and implement real-time systems with deterministic performance and low-latency requirements. Develop multithreaded applications using modern C++ concurrency primitives, thread synchronization, and lock-free programming. Integrate ML inference engines into fast-path … pipelines with minimal latency impact while optimizing control software for embedded systems and real-time hardware interfaces. Perform technical performance benchmarking and analyses to support engineering decisions. Write clean, well-documented, and testable code. Maintain quality throughout software development through peer code review, unit and functional testing. Leadership, Team ...

Marex Group is seeking a strong network engineer to join the Network Team in a fast-paced fintech environment in Greater London. The role focuses on the end-to-end design, deployment and operation of ...

LGBT Great is looking for an innovative eTrading Strategist to join their team in Greater London. The ideal candidate will design and develop algorithmic trading strategies, contributing to the overall electronic trading infrastructure. The role ...

Citi is seeking a Quantitative Analyst/Developer to join our electronic execution team and drive the development of cash equity algorithmic trading platforms. You will design and optimize high-performance trading systems using Java ...

慨正橡扯 is seeking a Senior Software Engineer to drive innovation within the Electronic Trading Services Platforms in Greater London. You will lead multiple complex projects, mentor teams, and align technical strategies with business goals. The ...