Account Executive, Public Safety Drones — Axon (Hybrid, United States)
AxonSell Axon Air drone and counter-drone solutions to police and sheriff’s departments. Own territory development, full-cycle sales, and Skydio partnership coordination.
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42dot एक मोबिलिटी AI कंपनी है, जो ऑटोमोटिव तकनीक और लॉजिस्टिक्स के संगम पर काम करती है। इसका काम सॉफ़्टवेयर-परिभाषित वाहन तकनीकों, स्वायत्त इलेक्ट्रिक वाहनों और बड़े पैमाने पर शहरी परिवहन के लिए आवश्यक सॉफ़्टवेयर व डेटा अवसंरचना पर केंद्रित है। कंपनी वाहन सॉफ़्टवेयर, फ्लीट डेटा प्लेटफ़ॉर्म और परसेप्शन व नियंत्रण के लिए AI मॉडल विकसित करती है। इसके साथ ही, वह स्वायत्त सेवाओं को लागू करने के लिए अपने मोबिलिटी ऑपरेटिंग सिस्टम TAP! पर भी काम करती है। वाहन इलेक्ट्रॉनिक्स और सॉफ़्टवेयर-प्रथम आर्किटेक्चर पर शोध व सहयोग के माध्यम से 42dot का लक्ष्य मोबिलिटी प्रणालियों को अधिक स्वायत्त, अनुकूलनीय और संचालित करने में आसान बनाना है।
Deep Learning Engineer, Text-to-Speech Development
Optimize text-to-speech models for Gleo AI’s in-vehicle voice experiences. Build real-time, multilingual speech synthesis for on-device and server environments.
विवरण
- Optimize TTS models for on-device and server environments
- Port and optimize models for NPU and other AI accelerator environments
- Reduce model size and improve performance through quantization
- Develop real-time streaming speech synthesis systems and optimize latency
- Develop and deploy multilingual, multi-speaker TTS models
- Research and develop advanced TTS models based on LLMs and flow matching
- Build speech synthesis datasets with generative models and improve data quality
- Analyze and resolve TTS model and service issues in production environments
- Integrate researched and developed TTS technologies into vehicle products and services
आवश्यकताएँ
- At least 3 years of relevant TTS experience
- Foundational knowledge of speech synthesis and TTS concepts
- Experience with model compression and computational optimization
- Experience optimizing quantization, memory usage, and latency
- Experience porting and optimizing models for NPU and other AI accelerator environments
- Experience optimizing models with TensorRT and ONNX
- Understanding of audio signal processing
- Development and debugging experience in Linux environments
- Programming proficiency in Python, C++, or shell
- Proficiency with open-source deep learning frameworks such as PyTorch
- Experience developing multilingual and multi-speaker TTS models is preferred
- Research or development experience with speech or audio tokenization technologies is preferred
- Publication as an author in a leading conference or journal in speech synthesis, machine learning, or artificial intelligence is preferred
- A relevant master's or doctoral degree, or completion of such a program, is preferred
- Korean proficiency information must be provided
लाभ
- Applicants eligible for national merit or employment protection are preferred
- Applicants with a registered disability certificate are preferred
- A three-month probationary period may apply
- A reference check may be conducted with the applicant’s consent after the interview process is complete
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