Senior Machine Learning Engineer
Core
Build and deploy cutting-edge AI technology to help people get value from meetings and conversations by scaling and optimizing ML systems for summarization and conversational intelligence.
Role type
Senior IC machine learning engineer (speech & LLM)
Builds
Large-scale SID / ASR / NLP / LLM systems powering summarization, chat, and speech understanding products.
Domain
AI / Machine Learning / Speech Technology
Deliverable
production ML models
Required skills
Large language model (LLM) development and fine-tuning, Automatic Speech Recognition (ASR) systems, model architecture design, training and inference strategy optimization, end-to-end ML system lifecycle management, cloud infrastructure deployment, large-scale conversational data processing, agentic systems and tool-use frameworks.
Preferred skills
PhD in relevant field, experience with multimodal systems, personalization or recommendation systems, multi-model orchestration.
Technologies
PyTorch, JAX
Responsibilities
Architect and evolve large-scale speech and language models, lead design of training and inference strategies, design and improve model architectures and loss functions, own end-to-end ML system lifecycles from prototyping to production, partner with product and infrastructure teams to translate research into scalable systems, drive system-level improvements in performance and observability, set technical direction for ML infrastructure, resolve complex model behavior and scaling problems, mentor other engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
