Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways. The Machine Learning Team's mission is to enable product innovation by making it painless for developers to build AI powered applications that require access to large sets of data.
Requirements
- 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.
- 8+ 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, techniques, and evaluation 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 and architecting 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 experience working with varied stakeholders across multiple teams.
- Demonstrated leadership experience leading large projects or teams.
- Strategic thinker with a strong technical aptitude and a passion for execution.
- A background with data analysis, visualization, and presentation.
- 5+ 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 highly sensitive data such as PHI (HIPAA) and PII data.
- 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.
Benefits
- Full-time employment
- Remote work option
- Equal opportunity employer
- Inclusive workplace
