Machine Learning Engineer R&D •

Proto is the leader for generative AI customer experiences across emerging markets. Our inclusive chatbots and multilingual contact centre automation solutions are designed in partnership with contact centres serving industries such as financial and health services, as well as government agencies often with competitive sponsorship from organisations such as the Gates Foundation and University of Cambridge SupTech Lab. Proto's deployments ensure local customer access across languages, ethnicity, geography and gender. Powering the Proto AICX Platform is the proprietary proLingual engine for mixed and local languages, as well as AICX Add-Ons for ChatGPT, analytics, third-party apps and proactive chat. Check out proto.cx and the latest funding round announcement! About the team Proto's team is extremely global with 80% BIPOC (Black, Indigenous, and Persons of Colour) and 50% female management working across 15+ countries. We're a remote team of self-starting and entrepreneurial SaaS engineers, operations and growth professionals. Our remote team follows established processes for cross-cultural and timezone collaboration, with opportunities for periodic in-person work. Job Summary We are seeking a highly skilled and motivated ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) Engineer to join our innovative team. The successful candidate will be responsible for developing, optimizing, and deploying state-of-the-art ASR and TTS systems, contributing to our cutting-edge speech technology solutions. This role requires a deep understanding of speech processing, machine learning, and software development. Responsibilities Design, develop, and optimize ASR and TTS models and algorithms. Implement and improve speech recognition and synthesis systems using deep learning frameworks. Collaborate with cross-functional teams to integrate ASR and TTS solutions into various applications and platforms. Conduct research and stay updated on the latest advancements in speech-processing technologies. Evaluate and benchmark the performance of ASR and TTS systems, ensuring high accuracy and efficiency. Troubleshoot and resolve issues related to speech processing systems and improve their robustness. Maintain and enhance existing speech processing models and pipelines. Contribute to the development of documentation, guidelines, and best practices for ASR and TTS systems. Requirements Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on speech processing or machine learning.Proven experience in developing and deploying ASR and TTS systems.Strong knowledge of machine learning frameworks such as TensorFlow, PyTorch, or similar.Proficiency in Python programming languages.Experience with signal processing, feature extraction, and speech recognition techniques.Familiarity with deep learning architectures, including RNN, CNN, Transformer models, etc.Ability to work effectively in a collaborative and fast-paced environment.Excellent problem-solving skills and attention to detail.Strong written and verbal communication skills.Nice-to-HavesExperience with large-scale speech data collection and annotation.Knowledge of cloud-based services and tools for ASR and TTS deployment.Publications or contributions to the speech processing research community.Experience with end-to-end speech processing pipelines and real-time processing systems.Benefits20 vacation days in addition to local holidays.Full remote work; work anywhere in the world with stable internet.Access to coworking offices globally.High and equal salaries; get paid higher than average and equally with global colleagues.Laptop incentive for work devices and tech upgrades.Visa support for immigration to countries in our corporate group.Stock options for qualifying leadership positions.Refugee-friendly; prioritizing candidates who are displaced or relocating due to conflict. Proto is proud to be an equal-opportunity workplace and affirmative-action employer. We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

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