Senior Fullstack and AI Engineer

2 weeks ago

Reston, Virginia, United States Recordly Full time
Transform the Future of Speech and Audio AI

At Recordly, we're pushing the boundaries of Speech and Audio Intelligence. As a Senior Fullstack and AI Engineer, you'll be at the forefront of developing cutting-edge AI models that revolutionize the way people interact with AI.

Our Mission

We're on a mission to create the most advanced Speech and Audio foundation models, enabling unparalleled transcription accuracy and natural-sounding speech synthesis. Our current focus is on enhancing speech recognition and synthesis to deliver human-like voices and nuanced transcriptions, making AI interactions more intuitive and impactful.

Key Responsibilities
  • Develop and integrate AI models for tasks such as speech recognition, emotion detection, video summarization, and content generation, focusing on achieving high performance, scalability, and real-time latency requirements.
  • Design and implement machine learning algorithms and train state-of-the-art Turkish and English speech recognition models on large datasets, followed by rigorous evaluation of their performance.
  • Create deep learning models that optimize audio and video processing pipelines, significantly enhancing application responsiveness and overall user experience.
  • Conduct original research to address unsolved real-world problems in speech recognition and advance the state-of-the-art for use cases involving multiple languages, including Turkish and English.
  • Develop machine learning models for both server-based and embedded systems, ensuring they meet stringent performance and efficiency standards.
  • Lead the deployment of AI models in production environments, ensuring they meet real-time latency, robustness, and efficiency requirements.
  • Research and implement advanced techniques in transfer learning, multimodal learning, and domain adaptation to improve model accuracy across varied datasets, particularly for low-resource scenarios.
  • Create and optimize data augmentation and preprocessing strategies to improve training data quality, ensuring robustness even in low-resource scenarios.
  • Select and optimize neural network architectures (e.g., CNNs, RNNs, Transformers) to meet specific project objectives, with a focus on audio and video AI applications.
  • Collaborate with cross-functional teams to seamlessly integrate AI models into production systems, utilizing frameworks such as TensorFlow and PyTorch.
  • Build and scale web applications using,, and, and mobile applications with React Native, incorporating AI-driven features to enhance user engagement.
  • Manage end-to-end service deployment and optimization using Docker, Kubernetes, and CI/CD tools to ensure reliable operation across cloud platforms like AWS and GCP.
  • Mentor junior team members in best practices for AI model development, deployment, and full-stack development, fostering a culture of continuous learning and innovation.
  • Utilize expertise in creating mobile applications that offer personalized user experiences, enhancing AI-based features to boost user engagement on digital platforms.
  • Implement advanced security protocols to safeguard AI models and data against adversarial attacks and ensure compliance with international data privacy regulations.
  • Lead cross-disciplinary research collaborations to innovate and refine AI methodologies, particularly in natural language processing (NLP) and computer vision, to expand the applications of AI models in emerging fields.
Requirements
  • Master's degree or higher in Computer Science, Machine Learning, Electrical Engineering, or a closely related field.
  • Specialized Training: Formal training in advanced machine learning, with a focus on deep learning for audio and video processing. This training should include hands-on experience with AI frameworks such as TensorFlow, PyTorch.
  • 5 years of progressive experience in AI engineering roles, with a specialization in training and fine-tuning machine learning models for audio and video data.
  • Proven track record in deploying scalable, high-performance AI models in production environments, meeting real-time processing requirements.
  • Demonstrated experience in leading Speech AI projects that have been successfully integrated into commercial products or enterprise-level systems.
Language Requirements
  • Fluent/Native in Turkish
  • Fluent/Native in English

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