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Verbit

Real-time transcription and captioning SaaS

ML/AI Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeUkraineNo salary listedIn-person

About the Job

Requirements

  • Solid background in machine learning and deep learning, with at least 4 years of experience.
  • Strong Python skills and experience working in Linux environments.
  • Familiarity with deep learning libraries such as PyTorch or TensorFlow and with training workflows.
  • Experience with MLOps pipelines and serving or deploying models in production.
  • Experience optimizing models for inference, including GPU acceleration.
  • Experience with Docker, gRPC, and serverless or microservices architectures on cloud infrastructure such as AWS, GCP, or Azure.
  • Experience with real-time or streaming systems and low-latency processing, such as streaming pipelines or live sessions.
  • Willingness to learn and grow into the speech engineering domain.

Responsibilities

  • Build, deploy, and serve machine learning models in production, optimizing inference performance, latency, and efficient GPU utilization.
  • Support and extend speech solutions, including third-party ASR integrations and self-hosted machine learning models.
  • Evaluate and optimize key ASR and machine learning metrics, including WER, latency, F1 score, EER, and DER.
  • Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models.

Desired Qualifications

  • Experience building and productizing agentic flows and AI-driven solutions, with at least 1 year of experience.
  • Familiarity with LLM or agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM.
  • Prior ASR or speech experience.

About the Company

Verbit

Real-time transcription and captioning SaaS

Verbit provides real-time transcription and captioning services for online meetings, with its Live Room product designed to integrate with Zoom. This SaaS solution creates interactive, live transcripts and captions during classes and meetings to ensure accessibility for participants with disabilities, supporting ADA compliance. By focusing on educational institutions and professional organizations, Verbit helps make online content and discussions accessible and searchable, while charging subscription fees for ongoing access and support. Compared with competitors, Verbit emphasizes tight Zoom integration, real-time accuracy, and a target market of schools and professional bodies that require compliant accessibility. The company’s goal is to improve accessibility and engagement in online communication by delivering reliable, scalable transcription and captioning as a service.

Company size
1,001-5,000
Company stage
Series E
Total funding
$432.1M
Headquarters
New York City, New York
Founded
2016

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