Senior ML - GenAI Engineer, Voice & Speech

The role

You will design and develop machine learning infrastructure, tooling, and models. You will build internal products and platforms to help teams incorporate AI into features and customer-facing products.

What you will do

• Design and develop machine learning infrastructure, tooling, and models.
• Help product and development teams understand the data lifecycle and machine learning experimentation.
• Build internal products and platforms to enable teams to incorporate AI into features.
• Consult with teams on machine learning patterns, anti-patterns, and trade-offs.
• Build scalable, resilient services for data integration, event processing, and platform extensions.
• Contribute to product functionality servicing large amounts of data and traffic.
• Write high-quality, performant, sustainable, and testable code.
• Coach and collaborate inside and outside the team.
• Work in a cloud environment using distributed components and services.
• Translate product goals into actionable engineering plans.

Required qualifications

• 5+ years of experience in any structured back-end language, i.e. Go, Java or Python
• Experience moving and storing TBs of data or 100 M to 10 B records.
• Experience building and deploying ML-driven B2B multi-tenant applications in production environments.
• 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, multimodal 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.
• Demonstrated track record of delivering complex projects on time and experience working in enterprise-grade production environments.
• High integrity, team-focused approach, and collaboration skills.

Nice to have

• Go and Python experience is a plus
• A background in data analysis, visualization, and presentation.
• 3+ years of experience in data science, machine learning, or predictive analytics in addition to engineering experience.
• Experience with natural language models, embeddings, and inference in production, 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).
• Experience with Kubernetes or GKE and the Operator Pattern (GCP), specifically, is 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.

Before you apply

• Employment with Weave is contingent upon the successful completion of a background check

About the company

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.