
Staff Machine Learning Engineer, Gen AI | Voice & Speech
Weave
Posted 2026-08-10
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Weave seeks a Staff Machine Learning Engineer to lead the design and delivery of GenAI‑powered voice and audio capabilities. The role drives ML infrastructure, platform tooling, and cross‑team technical strategy for a healthcare communication suite serving thousands of practices.
Role Snapshot
- Staff‑level ML technical leader
- Design and scale ML infrastructure
- Drive cross‑team AI initiatives
- Mentor senior engineers
- Shape engineering standards
Must-Have Requirements
- Distributed systems architecture
- Generative AI (LLMs, RAG, Prompt Engineering, Fine‑Tuning)
- Audio/Voice GenAI models
- Scalable data stores (PostgreSQL, Vitess, Spanner, Bigtable, Redis)
- Cloud platforms (GCP or AWS)
- Kubernetes & infrastructure‑as‑code
- MLOps pipelines
- Machine Learning
- Audio/Voice GenAI
- Distributed Systems
- US‑based remote work
- Background check
Nice-to-Have Signals
- Low‑latency AI agents
- Compliance‑heavy domain experience
- External technical leadership (open source, speaking, writing)
- Customer‑facing GenAI
- Compliance‑heavy environments
Work Setup
- Location: United States
- Work mode: REMOTE
- Remote scope: COUNTRY_RESTRICTED
- Remote countries: United States
- Employment type: Full-Time
Eligibility Gates
- Work authorization: must be authorized to work in the United States
- Visa sponsorship: no
- Background check: background check
Not Specified in JD
- Salary range
- Visa sponsorship
- Relocation
- Travel
- Shift/Timezone
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Design and build ML infrastructure and tooling for internal and external products
- Create scalable, resilient services for data integration and event processing
- Consult product and engineering teams on ML patterns, trade‑offs, and data lifecycle
- Lead cross‑team technical initiatives that deliver measurable business outcomes
- Shape company‑wide standards for observability, reliability, and distributed systems
- Mentor staff and senior engineers, elevating architectural thinking across the fellowship
Good Fit If You Have
- Enjoys influencing without direct authority and building consensus across org boundaries
- Thrives in a fast‑moving, healthcare‑focused environment
- Has a strong conviction in technical discussions while staying open to better ideas
Skills
- Distributed systems architecture
- Generative AI (LLMs, RAG, Prompt Engineering, Fine‑Tuning)
- Audio/Voice GenAI models
- Scalable data stores (PostgreSQL, Vitess, Spanner, Bigtable, Redis)
- Cloud platforms (GCP or AWS)
- Kubernetes & infrastructure‑as‑code
- MLOps pipelines
- Low‑latency AI agents (preferred)
- Compliance‑heavy domain experience (preferred)
- External technical leadership (open source, speaking) (preferred)
Remote Eligibility
- United States
- US