ML Engineer

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 + bonus + equity