Senior Python Engineer

Company: Jobot
Location: Austin, Texas, United States
Type: Full-time
Posted: 10.JUN.2021


Remote 1st Company, Super angels former CEO of Twitter, founder of, Chief Scientist of Salesforce, Chief Scientist of Pinteres...


Remote 1st Company, Super angels former CEO of Twitter, founder of, Chief Scientist of Salesforce, Chief Scientist of Pinterest.

This Jobot Job is hosted by Jacqueline Siegel

Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.

Salary $140,000 - $180,000 per year

A Bit About Us

The all-in-one money savings platform, provides a free cross-platform experience for consumers that combines advanced comparison shopping, cashback, coupons, price history and price alerts. The Company's patented, AI-powered matching algorithm enables real-time discovery of new, white label, used, local, refurbished, and rental products - taking comparison shopping to new heights. is available as a desktop and mobile website, browser extension, native app and chatbot.

Why join us?

We're a young company with a team of 10 people, that is passionately focused on fulfilling the massive potential that our technology has. If Google is the best technology for search, our goal is to be the best technology for product matching using deep learning/AI and computer vision.

Job Details

Expert Development Skills In Python (Preferred 4-5 Years Experience)

Knowledge of high-level python frameworks ideally Django, Flask

Ability to build out API endpoints


working with Relational and Non-Relational Databases (MySQL, mongoDB, etc)

Knowledge of common data engineering tools (Spark/DataBricks, Kafka/Kinesis)


d at working within AWS context

Must be adept at version control and managing/coordinating repositories among a development team (GitHub)


with building services with exhaustive testing (unit, integration, regression testing)

Knowledge of web scraping, experience with scraping frameworks like scrapy and scraping services like scrapinghub would be preferred


working with docker containers and orchestrating with kubernetes is preferred

Preferred/Exceptional Qualifications


building and scaling out data infrastructure is preferred

Background in data science and/or machine learning


working with python ML packages and frameworks (PyTorch, scikit-learn, Keras, TensorFlow)


developing and implementing end-to-end NLP and Computer Vision models


deploying production-level ML code and models on services or frameworks (SageMaker, Heroku, Flask)

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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