Staff Machine Learning Engineer, Gen AI | Voice & Speech

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

Employment with Weave is contingent upon the successful completion of a background check , conducted in accordance with applicable laws.

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