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senior

Machine Learning Engineer

Verbit
format:Remotecompany:Product
pythonmachine learningdeep learningpytorchtensorflowmlopsdockergrpcawsgpu
llmcrewaiaws bedrocktemporallitellmasr
experience4+ years
domainAI
> full description

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production.

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement.

What you’ll do:

  • Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization.
  • Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models.
  • Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER.
  • Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models.

What you’ll bring:

Core (required):

  • Solid background in machine/deep learning, with 4+ years of experience.
  • Strong Python skills and experience working in Linux environments.
  • Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows.
  • Experience with MLOps pipelines and serving/deploying models in production.
  • Experience optimizing models for inference, including GPU acceleration.
  • Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure).
  • Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions).

Nice to have (secondary / optional):

  • Experience building and productizing agentic flows and AI-driven solutions (1+ year).
  • Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM.
  • Prior ASR / speech experience — not required; willingness to learn this domain is what matters most.

What makes Verbit unique?

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows.

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more.

With more than 3,000 global customers relying on Verbit-including top law firms, universities, enterprises and media organizations-we’re building the future of how speech data is processed, understood and used.

We’re a group of:

  • Tech-savvy individuals who are always open to more growth and learning opportunities
  • Adaptable and flexible people who thrive in a fast-paced, startup environment
  • Creative minds who rethink and question how to outperform past results
  • Effective communicators who can promote and represent Verbit’s tech and brand
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