Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will focus on designing, developing, and optimizing advanced TTS, voice cloning models, and voice-enabled Large Language Models (Voice LLMs) that combine the naturalness of TTS with the intelligence of LLMs. By leveraging state-of-the-art technologies such as scalable zero-shot synthesis, this role is integral to creating systems that redefine how machines generate and mimic human speech. You will play a pivotal role in pioneering innovations in speech synthesis and shaping the future of human-AI interaction.

In Short

• Research and develop state-of-the-art Text-to-Speech (TTS) models and voice-enabled Large Language Models (LLMs).
• Implement voice cloning technologies.
• Design, develop, and optimize algorithms for neural vocoders.
• Build and maintain data pipelines for model training.
• Collaborate with cross-functional teams to integrate TTS models.
• Conduct performance tuning for TTS systems.
• Stay updated with advancements in LLM-based TTS.

Requirements

• MSc degree in Computer Science, Engineering, or a related subject.
• 2+ years of experience in speech synthesis development roles.
• Proven experience in developing AI-driven applications.
• Strong understanding of voice LLM techniques.
• Proficiency in Python and deep learning frameworks.
• Hands-on experience with TTS frameworks and neural vocoders.
• Excellent written and oral communication skills in English.

Benefits

• Fixed compensation.
• Long-term employment with vacation days.
• Professional growth opportunities.
• Being part of cutting-edge technology products.
• Proficient and fun-to-work-with colleagues.
• Apple gear.