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At a glance
Job overview
Avoma is hiring a ML Engineer - NLP. Avoma seeks a Deep Learning/NLP Engineer to improve and build systems that extract key insights and topics from conversations, applying state‑of‑the‑art NLP techniques to generate notes, analyze data, and automate workflows for its intelligent meeting assistant.
Key focus areas include Improve Avoma’s Insights Engine, Create new models to be used in the production, and Work with state-of-the-art LLMs to solve complex tasks.
Successful candidates bring 2+ Years Of Experience With Machine Learning & NLP In A Production Environment. Important skills include NLP, Deep Learning, Python, GPT, Claude, and Gemini.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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)
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