ML Engineer

Build and deploy production-grade ML systems for a Tier 1 VC-backed startup. Focus on audio data and real-time speech interaction to optimize field sales teams.

• Design, build, and deploy production-grade ML systems. Architect AI solutions for natural speech interaction. Develop and optimize ML models on audio data. Build agents for real-world audio inputs. Collaborate cross-functionally on AI stack. Handle entire ML lifecycle from data acquisition to monitoring.

• Bachelor's or Master's in CS, ML, AI or related. 1-6 years ML engineering experience. Strong Python skills. Experience with PyTorch or TensorFlow. Familiarity with AWS. Understanding of data pipelines, real-time inference, model monitoring.

• TypeScript, FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, S3.