About the Role
The role involves conducting foundational research in voice AI, designing novel models for speech processing, and contributing to the scientific and technical advancement of core platform capabilities.
Responsibilities
- Develop and refine machine learning models for speech recognition
- Conduct experiments to evaluate model accuracy and efficiency
- Publish findings in peer-reviewed journals and conferences
- Collaborate with engineering teams to integrate research into production systems
- Analyze large-scale audio datasets to identify patterns and insights
- Improve training pipelines for deep neural networks
- Explore new architectures for end-to-end speech processing
- Optimize inference speed and computational resource usage
- Investigate domain adaptation techniques for diverse speaker populations
- Enhance robustness of models under noisy conditions
- Contribute to open-source projects related to speech technology
- Stay current with advancements in natural language and audio processing
- Design evaluation frameworks for model comparison
- Participate in technical planning and roadmap discussions
- Mentor junior researchers and interns
- Ensure ethical use of data and model transparency
- Support patent disclosures for novel inventions
- Present work internally and at external events
- Troubleshoot model failures and diagnose edge cases
- Collaborate across disciplines to solve complex problems
Nice to Have
- Postdoctoral research experience
- Industry research lab experience
- Contributions to major speech recognition frameworks
- Experience with low-resource languages
- Work on speaker diarization or voice activity detection
- Knowledge of self-supervised learning methods
- Experience deploying models in production
- Background in multilingual speech processing
- Familiarity with edge-device constraints
- Involvement in benchmarking initiatives
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling options
Team
Collaborative research environment within a specialized AI engineering unit
Research Focus
- Primary emphasis on fundamental improvements in speech representation and modeling
- Exploration of transformer-based and recurrent architectures for audio
- Investigation into unsupervised and semi-supervised learning for voice data
Impact Goals
- Deliver research that directly enhances product capabilities
- Advance state-of-the-art in accuracy, latency, and scalability
- Enable new use cases through foundational breakthroughs
Available for qualified candidates
