About Roots Automation

At Roots, our mission is to make work more human by creating AI-powered "Digital Coworkers" that automate tedious and repetitive tasks. Our focus lies in tackling core challenges in Natural Language Understanding and Computer Vision while developing an automation product that envisions the future of work.

We believe in democratizing automations, allowing anyone to create them by defining tasks in plain English. Our platform aims to provide a robust environment to write and execute such tasks, effectively translating instructions into tangible outcomes while delivering enterprise-grade results and performance. Our primary industry focus is Insurance, where success hinges on our customer’s ability to read and understand various unstructured legal, medical, and financial documents. To solve this, we recently built a universal document understanding capability, InsurGPTTM, that leverages an industry-specific fine-tuned large language model.

The Role

As we advance the development of InsurGPTTM, our next step involves incorporating multimodal functionality by combining computer vision and natural language understanding to deepen our document understanding capabilities. To accomplish this, we are searching for a machine learning engineer to join our innovative team working on the intersection of computer vision & LLMs. Your contributions will play a pivotal role in shaping the future of our automation product

Qualifications

Graduate degree in computer science, engineering or statistics
2+ years of experience in building production-grade applications using machine learning and other artificial intelligence techniques
2+ years of professional development experience in Python, along with relevant packages/libraries
Experience working with Machine Learning and AI with focus on deep learning models
Experience working with deep learning frameworks such as TensorFlow or PyTorch
Strong data manipulation and extraction skills with SQL, Pandas and Numpy
Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing, Computer Vision and Information Retrieval
Possess excellent communication skills with an ability to explain and write specifications that embody complex concepts to stakeholders within the team
Able to adapt to a fast-paced work environment and can quickly adjust to changing priorities
Detail oriented with a focus on quality of the product, data, and code
Ability to work on projects end to end - including problem scoping, research, implementation, deployment and maintenance.
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics
Comfort with the following: Cloud infrastructure, Docker, UNIX command line, git version control.

Roots Automation

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