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Avoma

engineering opportunity

ML Engineer - NLP

Improve Avoma's Insights Engine by building and deploying production-ready NLP models. Develop agentic workflows and leverage state-of-the-art LLMs to extract key insights from meeting transcripts.

San Jose, California, United StatesremoteFULL_TIME

Posted

About the role

What will you do at Avoma?

OUR MISSION

Join Avoma and work on some of the most challenging NLP problems in our mission

to make every meeting more productive. Our intelligent meeting assistant helps

professionals get insights and automate common tasks required for any business

meeting. We leverage the latest NLP techniques to generate notes, analyze data,

and automate agentic workflows so our users can spend more time getting things

done.

* We are a venture-funded early-stage startup, have 1000+ paid B2B customers,

and are growing consistently month over month.

THE OPPORTUNITY

We are looking for a Deep Learning / NLP Engineer to improve and build our

systems to extract key insights and topics from conversations.

For our insights engine, you’ll need to apply SOTA NLP techniques to take on

challenges like identifying different topics of interest and summarizing meeting

transcripts to succinct notes.

AT AVOMA YOU WILL:

* Improve Avoma’s Insights Engine

* Create new models to be used in the production

* Work with state-of-the-art LLMs to solve complex tasks

* Develop and improve Deep Learning models using the latest frameworks

* Build bleeding edge systems to power Ask Avoma and Avoma Agents

* Stay up to date on the latest state-of-the-art papers in NLP

* Work with large datasets of over a million documents

Requirements

  • * At least 2+ Years of experience with Machine Learning & NLP in a production
  • environment
  • * Experience developing and debugging in Python
  • * Experience working with GPT, Claude, Gemini, or other similar LLMs.
  • * Experience writing and shipping scalable, high-performant and clean code
  • * Experience training Deep Neural Networks
  • * Experience with Tensorflow, PyTorch, or similar frameworks
  • * Excellent in both spoken and written communication skills
  • * Curious, self-motivated, and loves challenging problems

Benefits

* A transparent salary structure: $120k - $140k per year (DOE)

* Stock Option Plan

* Fast-paced, collaborative work environment

* Paid Time Off (Vacation, Sick and Public Holidays)

Which skills does this role require?

Machine LearningNatural Language ProcessingPythonLarge Language ModelsDeep LearningTensorflowPyTorchScalable CodeNeural NetworksData AnalysisNLPLLMGPTClaudeGeminiAgentic WorkflowsMeeting AssistantB2BData SetsTensorFlowLLMs

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