Join a VC-backed startup revolutionizing field sales with AI-powered conversation analysis. As an ML Engineer, you'll design and deploy production-grade ML systems focused on audio data and real-world speech interaction. Collaborate with cross-functional teams and own the full model lifecycle from conception to monitoring.
Responsibilities
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle
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 insights from unstructured voice data
Build agents capable of 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 and deliver impactful solutions
Handle the entire AI lifecycle including data acquisition, preprocessing, training, deployment, inference, and monitoring
Participate in continuous improvement of ML infrastructure and processes
Requirements
Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related field
1-6 years of professional experience in ML engineering