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Machine Learning Engineer

Company: Mage
Location: Morgan Hill
Posted on: January 12, 2022

Job Description:

TLDR

  • Build beautiful and intuitive AI tools for product developers; learn AI coding along the way.
  • Tech stack: React + Vercel (front-end), Python + AWS (backend). Read more: https://m.mage.ai/startup-tech-stack-f8a957b4a0e
  • Join a company that values design and engineering equally.
  • Partner with founders who worked at Airbnb for over 9 years combined.
  • Backed by Gradient Ventures, Googles AI focused fund, because they understand the positive impact AI will have when made accessible to more product developers.
  • Backed by Designer Fund because they care about design as much as we do.
  • Backed by Neo because they care about developers as much as we do.
    Why we existWe believe in a world where every business can deliver transformational experiences to their customers.
    Our mission is to equip developers with accessible AI technology so they can deliver magical experiences to their users.
    Were making AI accessible to front-end developers, backend developers, and native developers at SMBs. Mage will make AI technology so accessible, a mom-and-pop shop can harness its power.
    Read more: https://www.mage.ai/blog/why-mage-exists
    ProductMage is the Stripe for AI. Stripe made it easy for any developer to process payments into their website. Mage makes it easy for any developer to build AI and integrate them into their apps.
    Mage is a collaborative AI tool for product developers.
    With Mage, product developers can import data from data warehouses, transform data, train models, improve models, and deploy models without having to rely on data scientists or hiring AI engineers and waiting 6 months for them to ramp up.
    You can increase revenue and retention by using an AI tool like Mage to make predictions using your existing data. Use cases for AI include improving ranking to increase revenue, recommend new products to users to increase revenue, increase app engagement by predicting when a user will stop using it, predict membership subscriptions to increase retention of existing paying users, and more.
    Ship a model in minutes, not months. How it works in 3 steps:
  • Add data then enhance it
  • Build model then improve it
  • Deploy model and integrate
    Responsibilities
    • Prototype new machine learning use cases and integrate them into Mage's machine learning library
    • Collaborate with front-end/full stack engineers to build guided flows for machine learning use cases in product
    • Help customers improve model performance
    • Improve Mages machine learning library code quality with more tests and better code structure
    • Create innovative product ideas
    • Mentor engineers
      Example projects
      • Prototype sales forecast model and integrate it into ML library.
      • Use multiple algorithms for classification models and compare the performance between different algorithms.
      • Improve existing and new models across all users through feature engineering, hyperparameter tuning, data transformations, and more.
        Qualifications
        • +1 years of work experience with Python, Pandas, Numpy, scikit-learn, XGBoost, and other ML related libraries
        • Experience writing technical design documents
        • Can work autonomously and collaborate with other engineers
        • Excited to lead, mentor, and learn
        • Excels in ambiguous environments and can wear multiple hats
          Culture + Benefits
          • Full-time
          • Location: Bay Area; we are getting an office but will also allow remote for deep work
          • Benefits: health, vision, dental insurance
          • Employee paradise: we know what its like to be at a company that values and treats its employees right no matter what (Airbnb). We learned and we do the same.
          • Food: we love food so we have many company meals together (eating out and cooking)
          • Experiences: were creating life long memories together, so we do fun activities as a team (e.g. trips, movies, board games, Airbnb Experiences, etc.
            Core virtuesValues are aspirational. Virtues are values in action. Here are the 6 core virtues that define who we are and how we behave.
          • Victorious as a team
          • Give people power-ups
          • Think bold and lead the charge
          • Deliver magical experiences
          • Create compounding forces
          • Level up stats
            Chat with usEmail: careers@mage.aiLive chat: https://mage.ai/chatby Jobble

Keywords: Mage, Mountain View , Machine Learning Engineer, Engineering , Morgan Hill, California

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