Weave - Staff / Senior ML - GenAI Engineer, Voice & Speech

• Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences. • Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning. • Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products. • Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end. • Build scalable, resilient services to support data integration, event processing, and platform extensions. • Contribute to the continued evolution of product functionality that services large amounts of data and traffic. • Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce. • Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices. • Work in a cloud environment, considering the implementation of functionality through several distributed components and services. • Work with our stakeholders to translate product goals into actionable engineering plans. • High integrity, team-focused approach, and collaboration skills to build tight-knit. relationships across Weave with various roles and stakeholders. • Responsive person with a strong bias for action. • 5+ years of experience in Machine Learning or AI, preferably with a focus on natural language. • Experience moving and storing TBs of data or 100M’s to 10B’s of records. • Experience building and deploying ML driven B2B multi-tenant applications in production environments at scale for external products and customers. • Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others. • Experience with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, multi-modal models, and others. • Experience with data labelling or annotation for audio or text use cases. • Understanding of distributed systems and building scalable, redundant, and observable services. • Expertise in designing systems for distributed data sets and services. • Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.). • Experience providing stable well designed libraries and SDKs for internal use. • Self driven and a thirst for learning in a quickly changing industry. • Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments. • Demonstrated capacity for leadership or mentorship. • Strategic thinker with a strong technical aptitude and a passion for execution. • What Will Make Us Love You • A background with data analysis, visualization, and presentation. • 3+ years of experience in engineering and systems with strong proficiency in coding and system design. • Experience with low latency natural language models and pipelines at scale. • Experience with real-time audio models and voice use cases such as transcription, ASR pipelines with interruption detection, audio alignment, and speech synthesis. • Experience with emerging technologies such as Model Context Protocol (MCP). • Proficient understanding of containers, orchestrators, and usage patterns at scale. Experience with Kubernetes or GKE and the Operator Pattern (GCP), specifically, a plus. • Experience with highly sensitive data such as PHI (HIPAA) and PII data. • Experience with automation and container based workflow engines. • Experience with GitOps, IaC, and configuration driven systems. • A preference for open source solutions. • A track record of clean abstractions and simple to use APIs. • A desire to advance the state of the art with new and innovative technologies. • Enjoys working in a greenfield environment using rapid prototyping. • Enjoys working with open-ended, evolving problems, and domains. • Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws. • completion of a background check • At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page. • we use Artificial Intelligence (AI) tools