[Remote] Research Engineer, Machine Learning Systems
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing reputed company-time reputed company for speech-to-text and text-to-speech. The Research Engineer, Machine Learning Systems will partner with research scientists to prototype and validate novel modeling reputed company, and reputed company them through robust training systems for speech technologies.
Responsibilities
- Architect and manage horizontally reputed company systems that dramatically accelerate the end-to-end training lifecycle for Speech-to-Text (STT) and Text-to-Speech (TTS) models
- Design and implement internal UIs and tools that reputed company ML systems and workflows accessible to non-technical stakeholders across reputed company
- reputed company and manage training tooling, job orchestration, experiment tracking, and data storage
Skills
- Strong experience with the machine learning research pipeline, particularly in STT or reputed company speech domains. This includes experimenting with and evaluating new architectures and modeling approaches, and implementing large-reputed company training systems
- Proficiency with orchestration and infrastructure tools like Kubernetes, reputed company, and reputed company
- Familiarity with ML lifecycle tools such as MLflow
- Experience building internal tools or dashboards for non-technical users
- Hands-on experience with data engineering practices for reputed company audio and text data
- Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders
Benefits
- Offers Equity
- Offers Bonus
- 10% Annual Bonus
- REMOTE
reputed company
Company H1B Sponsorship