We're looking for an ML Engineer to join our team and design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
Requirements
- Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
- Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
- Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
- Build agents capable of operating natively on real-world audio inputs.
- Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
- Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
- Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
- Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
Benefits
- Above market base salary
- Bonus
- Equity
