ML Engineer

ML Engineer at a VC-backed startup building AI-powered solutions for field sales teams. The role involves designing and deploying production ML systems for audio data analysis and natural speech interaction.

• 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 focused on audio data to extract business-critical insights.
• 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 applications.
• Work directly with customers to identify needs and deliver real-world solutions.
• Handle the entire AI lifecycle including data acquisition, training, deployment, 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.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments (preferably AWS).
• Strong understanding of data pipeline design, real-time inference, and model monitoring.
• Excellent communication skills and ability to engage with customers and stakeholders.
• Proven experience building and deploying ML models into production.
• Experience with audio-focused ML projects or unstructured data.
• Proficiency in building scalable data pipelines for model training and evaluation.

• TypeScript experience
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3.