Founding Machine Learning Architect

6 days ago


San Francisco, California, United States Pear VC Full time

Building AI Solutions for the Future

We are ottobooks, a company backed by Pear VC, and we are on a mission to transform the accounting industry with AI native software. As our founding AI Engineer, you will be part of a team that is passionate about building innovative AI solutions for the accounting industry.

About You

  • You are a visionary who can see the potential for AI to transform industries.
  • You are a collaborative leader who can bring people together to achieve a common goal.
  • You are a metrics-driven individual who chooses methods and approaches with the end goal in mind. Metrics and measurement drive your behavior.
  • You thrive in ambiguity, experimentation, and continuous learning.
  • You have a strong sense of integrity and are committed to doing the right thing.

About the Role

As our founding AI engineer, you will own and help build our AI practice to tackle questions such as: How do you create a system that completes tasks in seconds rather than hours? How do you scale that system to solve not just one problem, but a multitude of challenges? How do you deploy these solutions in a way that hides the complexity from users, making the experience feel magical?

In this role, you'll collaborate with our founders and design partners to transform recent breakthroughs into practical solutions for the accounting industry by evaluating, building, and applying AI to the products we ship. Your key focus areas include OCR, Document Understanding, Named Entity Recognition, and NLP.

Responsibilities

  • Collaborate with our founders and design partners to help build our platform to make it easier to ship AI solutions in the areas we operate in.
  • Evaluate open source and proprietary models to setup best-in-practice solutions to everyday problems in accounting.
  • Identify and collect metrics to measure and improve the efficacy of models in production.
  • Partner with engineers to build effective data pipelines to fine-tune models, collect user feedback, and monitor metrics.

Qualifications

  • 3+ years of experience building AI products, preferably with a focus in NLP.
  • 5+ years of programming and software engineering (meaningful academic work will also count), preferably in Python.
  • Experience maintaining models in production and strong experience in metrics and measurement.

Estimated Salary: $120,000 - $180,000 per year



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