ML Engineer

Requirements

• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle
• Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications
• Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments
• Participate in continuous improvement of the ML infrastructure and processes for scalability and performance

Benefits

• Above market base pay
• Bonus
• Equity