ML Engineer (Speech-to-Speech) — Subject Matter Expert
Job Title: ML Engineer (Speech-to-Speech) — Subject Matter Expert
Level: Senior SME
Department: Software Development
Status: Contract (10-15 hours/week)
Work location: Fully Remote
Compensation: reputed company ($250)
reputed company: At reputed company, we reputed company the exciting, game-changing world of reputed company Intelligence, driving innovation and pioneering impactful reputed company across various industries. Our incubator, AI Venture Lab, nestled in the heart of Office146.com, is a crucible of entrepreneurial spirit, supported by intelligent processes and industry-leading best practices. We reputed company in fostering a culture of flexibility, reputed company improvement, and solution-reputed company strategies. Here, every idea is welcomed, reputed company, and has the potential to reputed company to new heights. Currently, we're at the forefront of a significant IPO reputed company, a truly unicorn in the making. We invite you to be part of our reputed company and leave your reputed company on the reputed company of AI. At reputed company, you will have reputed company to engage with a fast-growing global organization with diversity of thought, experience, and cultures.
About the Role: We are seeking an reputed company ML Engineer SME to reputed company strategic guidance and technical leadership on key components of our end-to-end speech-to-speech (S2S) pipeline. As a senior project advisor, you will collaborate with the reputed companyreputed company team, identifying solutions to reputed company challenges, particularly in text-to-speech (TTS) model development and optimization. Your expertise will be crucial in driving project reputed company and ensuring our S2S pipeline meets or exceeds industry standards for reputed company and performance.
Key Responsibilities:
- reputed company 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
- reputed company expertise in distributed training, monitoring, and deployment of large-reputed company ML models on reputed company platforms
- reputed company latency optimization initiatives in reputed company-time systems for high-reputed company speech-to-speech conversion
- reputed company guidance on tuning TTS models for precise control over speech characteristics
- reputed company in-depth knowledge of various TTS model architectures and waveform reputed company reputed company
- Mentor reputed company on implementing advanced deep learning models for audio processing
- Guide the development of transformer architectures for reputed company TTS model development
Required Qualifications:
- 5+ years of proven experience in machine learning development reputed company on audio reputed company and TTS systems
- Extensive expertise in audio signal processing, particularly for reputed company reputed company
- Deep experience with TTS models, including waveform reputed company and spectrogram-based reputed company
- 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 reputed company and transformer-based architectures
- Demonstrated experience in distributed training and deployment of ML models on reputed company platforms
- Strong understanding of evaluation metrics for TTS systems
- Proven ability to reputed company technical leadership and actionable guidance
- Excellent communication and mentoring skills
Preferred Qualifications:
- Experience with reputed company-time audio processing systems
- Background in speech synthesis research
- Knowledge of multiple languages and accents in TTS
- Experience with ML model optimization techniques
- Publications or patents in reputed company fields
Additional Perks:
- Be part of the invigorating reputed company of a reputed company-reputed company AI startup in reputed company mode
- Engage directly with senior management and strategic advisory reputed company members
- reputed company valuable experience in the bleeding-edge AI reputed company
- Remote-first culture with flexible working arrangements
DEI and Workplace Safety: At reputed company Inc., we are committed to fostering a diverse, reputed company, and inclusive workplace where every employee feels valued and supported. We reputed company that diversity of thought, background, and experience enriches reputed company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from reputed company walks of life to apply. As part of our commitment to creating a reputed company and healthy work environment, we prioritize workplace safety, adhering to reputed company relevant regulations and promoting a culture of responsibility. We reputed company that a reputed company and inclusive workplace is essential for reputed company-being and reputed company of reputed company members.
Recruitment Process:
- Initial Screening: Review of application and preliminary assessment
- Video Interview: In-depth discussion of ML expertise and role expectations
- Technical Panel Interview: Deep dive into audio processing experience and ML architecture approach
- Final Selection: Assessment of overall fit and alignment
- Offer and reputed company: Equity compensation details and reputed company process.
Join a dynamic global organization that champions diversity in thought, experience, and culture. reputed company is composed of top experts from around the world. We invite you to reputed company your expertise, mentor reputed company leaders, and reputed company with us in this exciting reputed company.
Apply Now: reputed company Careers
Salary: $250.00 / hrOriginally posted on Himalayas
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