Weave combines LLMs and domain-specific machine learning to understand engineering work. We understand how much work was done, how good it is, and how AI contributed. Backed by Y Combinator.
About the role
12+ years of software engineering experience with progressive technical leadership scope Demonstrable experience building and deploying ML-driven B2B multi-tenant applications in production environments at scale for external products and customers
What they're looking for
- 12+ years of software engineering experience with progressive technical leadership scope
- Demonstrable experience building and deploying ML-driven B2B multi-tenant applications in production environments at scale for external products and customers
- Deep expertise in distributed systems architecture, including building and operating services that handle hundreds of millions of transactions and terabytes of data
- 15+ years of experience in Machine Learning or AI, with a focus on or expertise in audio and voice GenAI solutions at scale
- Deep expertise with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, and specifically high-scale audio/voice models and LLM evaluations
- Strong background in scalable data stores—both relational (PostgreSQL at scale, Vitess, Spanner) and NoSQL (Bigtable, Redis, etc.)
More about this role
Weave is looking for a Principal Engineer to join the Machine Learning Team specialised in voice and audio modalities , where you will be at the forefront of enabling product innovation and building AI-powered applications. In this role, you will help design how teams across Weave build out AI-powered features, serving as a technical leader who bridges the gap between sophisticated machine learning and practical, customer-facing products.
As a technical cornerstone, you will design the platforms that allow our engineering organisation to incorporate AI into their features seamlessly. Your success is measured by the scalability of our ML infrastructure and the ability of our product teams to deliver world-class, AI-driven experiences to 30,000+ healthcare practices.
This is a strategic leadership position requiring deep expertise in MLOps and GenAI. You will consult with teams on common ML patterns and tradeoffs, ensuring that our technical strategy for data and intelligence positions Weave as a leader in the healthcare communication space.
The Data Fellowship encompasses multiple engineering teams responsible for Weave's core data and AI/ML capabilities. We own or support products...
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