Ovii Job Board

Staff Machine Learning Engineer, Gen AI | Voice & Speech

Weave

United States • Remote - United States • Full-Time • 15+ years

Posted 2026-08-10 Tech & Engg

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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