Price.com, the all-in-one money savings platform, provides a free cross-platform experience for consumers that combines advanced c...
Price.com, 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. Price.com is available as a desktop and mobile website, browser extension, native app and chatbot.
Price.com is backed by some of the top investors; Founders Fund, Social Capital, Caplin Group and super angels: former CEO of Twitter, founder of Priceline.com, Chief Scientist of Salesforce, Chief Scientist of Pinterest.
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. We are looking for an amazing partnership lead to help us to join us on this mission and to scale our technology!
We are looking for someone with Python and Django experience who can build out and implement API endpoints to enhance the functionality of our service and improve the overall end-user experience.
Additional responsibilities would include but not be limited to:
We are looking for highly organized and motivated individuals who are comfortable working within a fast-paced start-up environment. A qualified candidate would be able to independently and quickly learn new tools but also an effective teammate that is able to coordinate with the various data and engineering teams.
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
Experience working with Relational and Non-Relational Databases (MySQL, mongoDB, etc)
Knowledge of common data engineering tools (Spark/DataBricks, Kafka/Kinesis)
Experienced at working within AWS context
Must be adept at version control and managing/coordinating repositories among a development team (GitHub)
Experience 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
Experience working with docker containers and orchestrating with kubernetes is preferred
Experience building and scaling out data infrastructure is preferred
Background in data science and/or machine learning
Experience working with python ML packages and frameworks (PyTorch, scikit-learn, Keras, TensorFlow)
Experience developing and implementing end-to-end NLP and Computer Vision models
Experience deploying production-level ML code and models on services or frameworks (SageMaker, Heroku, Flask)
Competitive salary and equity
Paid Time Off: We provide paid time off to recharge, take a vacation, or take care of personal business.
Professional Development and Conferences: Grow your career and feed your curiosity. We sponsor employee visits to professional conferences.
Company Equity: Full-time employees may be eligible to participate in the company's equity incentive plan, grants and awards from which are generally subject to time-based vesting provisions.
If interested, please send us a paragraph describing why you would be a great fit for our company and attach your resume.