ML Engineer

Design, build, and deploy production-grade ML systems with end-to-end ownership, focusing on audio data and real-time speech understanding. Work with a Tier 1 VC-backed startup to develop AI solutions that capture and analyze field conversations. Collaborate with customers and cross-functional teams to drive innovation in LLM and audio ML applications.

• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance
• Architect and deliver AI-powered solutions for natural speech interaction and real-time audio understanding
• Develop and optimize ML models for audio data to extract business-critical insights from unstructured voice data
• Build agents operating natively on real-world audio inputs
• Collaborate with cross-functional teams to shape the AI stack and drive innovation in LLM and audio ML
• Work directly with customers to identify needs, gather feedback, and deliver real-world solutions
• Handle the entire AI lifecycle including data acquisition, preprocessing, model training, deployment, inference, and monitoring
• Participate in continuous improvement of ML infrastructure and processes

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related field