Experienced ML Engineer advising on speech-to-speech pipeline for Vosyn, an AI startup. Collaborate to optimize TTS models and lead technical initiatives.
Responsibilities
Provide expert-level advice and mentorship on the architecture, training, and production of text-to-speech (TTS) models
Guide the implementation of robust testing methodologies for TTS models using industry standards like MOS testing
Share expertise in distributed training, monitoring, and deployment of large-scale ML models on cloud platforms
Lead latency optimization initiatives in real-time systems for high-quality speech-to-speech conversion
Provide guidance on tuning TTS models for precise control over speech characteristics
Share in-depth knowledge of various TTS model architectures and waveform generation methods
Mentor the team on implementing advanced deep learning models for audio processing
Guide the development of transformer architectures for complex TTS model development
Requirements
5+ years of proven experience in machine learning development focused on audio generation and TTS systems
Extensive expertise in audio signal processing, particularly for human voices
Deep experience with TTS models, including waveform generation and spectrogram-based methods
Proven expertise in tuning TTS models for duration control and speech characteristics
Strong proficiency in Python and machine learning frameworks such as PyTorch
Experience with advanced deep learning models like WaveNet and transformer-based architectures
Demonstrated experience in distributed training and deployment of ML models on cloud platforms
Strong understanding of evaluation metrics for TTS systems
Proven ability to provide technical leadership and actionable guidance
Excellent communication and mentoring skills.
Benefits
Engage directly with senior management and strategic advisory board members
Gain valuable experience in the bleeding-edge AI space
Remote-first culture with flexible working arrangements
Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.
Lead Machine Learning Engineer at Torc Robotics improving frameworks for autonomous vehicles. Join a team that develops advanced solutions in the autonomous vehicle space.
Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.