Founding ML engineer

Remote, San Francisco, CA, United States


Role Locations

  • Remote
  • San Francisco, CA, United States


< 10 people


315 Montgomery Street
San Francisco, CA, 94104, US

Tech Stack

  • AWS
  • React
  • JavaScript
  • Node.js
  • TypeScript
  • SQL

Role Description

We are looking for a ML engineer who enjoys building cutting edge machine learning algorithms that would for natural language processing and raw audio/video data.

Work Experience

  • Experience building products based on NLP/NLU.
  • Solid understanding of deep learning frameworks like TensorFlow and PyTorch.
  • Experience working with python, AWS, docker.
  • History of extracting value from large disconnected datasets that can be added to the product.
  • 5+ years of work experience.
  • Bachelor's degree in science, engineering, or math.
  • Experience with signal processing is preferred but not required.

What You Will Do

  • Collaborate with product and engineering teams to design and develop an end to end product deployment
  • Work with Speech and Text data to train and deploy NLP/NLU models.
  • Monitor and improve performance of models deployed to production.
  • Actively work on parallelize models to generate realtime insights for the users.
  • Become a founding team member and set culture in the organization


  • Confidence without attitude
  • Experimentation and bias for action
  • Passion for Poised mission and the impact we can have on the world
  • Point of view on AI/communication products
  • Infinite and curious learner
  • Open to receiving and giving feedback
  • Ideally previous startup experience

About Poised

Our mission is to improve the world's spoken communication. Our product is an AI-powered communication coach that provides real-time and post-meeting feedback for online meetings and helps you improve through personalized recommendations and learning content.

Company Culture

Remote first: We encourage everyone to work at their best in a flexible remote environment. We balance remote work with office days and quarterly offsites for in-person interaction.

Learn fast: We learn quickly through action and shipping features. Working here will be fast-paced but rewarding. Even as a small team we're shipping several times a week.

User focus: We are focused on creating experiences that users love and value. We stay close to users and prioritize based on what users say and do.

Poised communication: We seek to communicate openly, clearly, and candidly. We seek to build a culture where people feel comfortable speaking up to be heard and understood.

Work-life balance: We make time to have fun and celebrate moments together. We work hard but do not take ourselves too seriously. We offer free lunch, full benefits, and have a mandatory vacation policy to ensure everyone will disconnect.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.