ML Engineer

Catalyst Labs seeks an ML Engineer for a VC-backed startup in New York. The role involves building production-grade ML systems for audio/speech AI, with end-to-end ownership from data to deployment. You'll work on real-world audio understanding, LLMs, and customer-facing solutions.

• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle
• Architect AI-powered solutions for natural speech interaction and real-time audio understanding
• Develop and optimize ML models for audio data to extract insights from unstructured voice data
• Build agents native to real-world audio inputs
• Collaborate cross-functionally 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: data acquisition, preprocessing, training, deployment, inference, monitoring
• Participate in continuous improvement of ML infrastructure and processes

• Bachelor's or Master's in CS, ML, AI, or related field
• 1-6 years of professional experience in ML engineering
• Strong programming skills in Python
• Hands-on experience with PyTorch or TensorFlow
• Familiarity with AWS cloud environments
• Understanding of data pipeline design, real-time inference, and model monitoring
• Excellent communication skills for customer and stakeholder engagement

• TypeScript experience
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, S3
• Experience with audio-focused ML projects or unstructured data
• Proven ability to own full model lifecycle from data ingestion to deployment