Machine Learning Engineer (Palo Alto) Job at Avoma, Palo Alto, CA

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  • Avoma
  • Palo Alto, CA

Job Description

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This range is provided by Avoma. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $140,000.00/yr

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, youll 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 Avomas 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

  • Stock Option Plan
  • Fast-paced, collaborative work environment
  • Paid Time Off (Vacation, Sick and Public Holidays)

Seniority level : Entry level

Employment type : Full-time

Job function : Engineering and Information Technology

Industries : Software Development

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Job Tags

Full time,

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