16 days ago
Remote, Worldwide +2 moreMid Level / Senior
H1B Sponsor
Base Salary
$150k - $250k/yr
Responsibilities
- Architect and manage scalable systems for training Speech-to-Text (STT) and Text-to-Speech (TTS) models.
- Optimize data preparation and management for efficient model development.
- Design and implement internal tools to make ML systems accessible to non-technical stakeholders.
- Oversee training tooling, job orchestration, experiment tracking, and data storage.
Requirements
- Strong experience with the machine learning research pipeline, particularly in STT or related speech domains.
- Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.
- 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 unstructured audio and text data.
- Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.
Benefits
- Medical, dental, and vision benefits.
- Unlimited PTO and generous paid parental leave.
- Flexible schedule and 12 paid US company holidays.
- Learning and education stipend, plus participation in talks and conferences.
- 401(k) plan with company match and tax savings programs.
Tech Stack
DockerKubernetesMLflow
Categories
AI & MLData Engineering