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Weave

Staff Machine Learning Engineer, Gen AI | Voice & Speech

RemoteUnited States only
Published
Role
AI / ML
Experience
Staff
Employment
Full-time
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Staff ML Engineer with 15+ years of experience in AI/ML, specializing in audio and voice GenAI solutions at scale. Must have deep expertise in MLOps, LLMs, RAG, Prompt Engineering, Fine Tuning, and high-scale audio/voice models. Requires experience building and deploying scalable B2B multi-tenant ML applications in production, with strong background in distributed systems and cloud-native infrastructure (GCP/AWS). US-based remote.

Core skills

LLMsaudio and voice GenAIMLOps

Required skills

RAGPrompt EngineeringFine TuningPostgreSQLVitessSpannerBigtableRedisKubernetesinfrastructure-as-code

Optional skills

customer-facing GenAI at scale, in productionlow-latency, high-accuracy AI AgentsAudio or Voice GenAI in Production at scalecompliance-heavy environments (healthcare, fintech)external technical leadership: open source contributions, conference speaking, or published technical writing

Required languages

English

What you'll do

  • Design and develop ML infrastructure, tooling, and models to help teams deliver world-class experiences
  • Build internal and external products and platforms to enable teams to incorporate AI into their features and customer-facing products.
  • Translate product goals into actionable engineering plans and build scalable, resilient services for data integration and event processing.
  • Help product and development teams understand the data lifecycle and consult with teams on common ML patterns/tradeoffs.
  • Coach and collaborate inside and outside the team to elevate technical standards
  • Write high-quality, performant, sustainable, and testable code while working in a cloud environment.
  • Monitor the industry landscape, anticipate where technological advances are heading, and ensure Weave stays ahead of the curve.
  • Cut through noise and hype to identify genuine strategic value; advocate for and lead key initiatives that prepare Weave for emerging challenges
  • Shape company-wide standards for engineering excellence, observability, and reliability in distributed systems.
  • Actively mentor Staff and Senior Engineers across the fellowship, developing the next generation of technical leaders
  • Elevate architectural thinking across teams through design reviews, documentation standards, and hands-on guidance
  • Build organisational capability that persists beyond your individual contributions

What they require

  • Demonstrable experience building and deploying ML-driven B2B multi-tenant applications in production environments at scale for external products and customers
  • Deep expertise in distributed systems architecture, including building and operating services that handle hundreds of millions of transactions and terabytes of data
  • 15+ years of experience in Machine Learning or AI, with a focus on or expertise in audio and voice GenAI solutions at scale
  • Deep expertise with modern ML tools and techniques such as LLMs, RAG, Prompt Engineering, Fine Tuning, and specifically high-scale audio/voice models and LLM evaluations
  • Strong background in scalable data stores—both relational (PostgreSQL at scale, Vitess, Spanner) and NoSQL (Bigtable, Redis, etc.)
  • Operational experience with cloud-native infrastructure on GCP or AWS, including Kubernetes, infrastructure-as-code, and highly available system design
  • Track record of leading cross-team technical initiatives that delivered measurable business outcomes
  • Demonstrated ability to influence without direct authority, build consensus across organisational boundaries, and translate technical tradeoffs into business terms
  • Background in compliance-heavy environments (healthcare, fintech) with experience navigating regulatory requirements in technical design
  • Strong opinions, loosely held—you bring conviction to technical discussions while remaining genuinely open to better ideas

Benefits

  • 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.
  • Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.

Weave provides an all-in-one platform for healthcare practices, supporting scheduling, payments, communication, and reviews to improve patient experience and practice efficiency.

🇺🇸 United StatesHealthcareEnterprise
Salary not disclosed