Note: The job is a remote job and is open to candidates in USA. Weave is looking for a Staff GenAI Engineer to join the Machine Learning Team specialised in voice and audio modalities. In this role, you will help design how teams across Weave build out AI-powered features and serve as a technical leader bridging the gap between sophisticated machine learning and practical applications.
Responsibilities
- Design and develop ML infrastructure, tooling, and models to help teams deliver world-class experiences
- Build internal and external products and platforms to enable teams to incorporate AI into their features and customer-facing products
- Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing
- Help product and development teams understand the data lifecycle and consult with teams on common ML patterns/tradeoffs
- Coach and collaborate inside and outside the team to elevate technical standards
- Write high-quality, performant, sustainable, and testable code while working in a cloud environment
- Monitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve
- Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges
- Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems
- Actively mentor Staff and Senior Engineers across the fellowship, developing the next generation of technical leaders
- Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance
- Build organisational capability that persists beyond your individual contributions
Skills
- 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.)
- Operational experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design
- Track record of leading cross-team technical initiatives that delivered measurable business outcomes
- Demonstrated ability to influence without direct authority, build consensus across organisational boundaries, and translate technical tradeoffs into business terms
- Expertise with customer-facing GenAI at scale, in production
- Expertise building low-latency, high-accuracy AI Agents
- Audio or Voice GenAI in Production at scale: Mandatory deep experience delivering meaningful voice/audio solutions to external products (confirming 'been there, done that' experience, not aspirational)
- Background in compliance-heavy environments (healthcare, fintech) with experience navigating regulatory requirements in technical design
- History of external technical leadership: open source contributions, conference speaking, or published technical writing
- Strong opinions, loosely held—you bring conviction to technical discussions while remaining genuinely open to better ideas
Company Overview
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