Principal Machine Learning Engineer (Remote)

over 1 year ago
Full time role
Remote · San Francisco, CA, US... more
Remote · San Francisco, CA, US... more

Job Description

About Us 🌎
We're on a mission to make the fight against climate change easy, accessible, and affordable for everyone!EcoCart is the #1 solution for sustainable e-commerce, with products that allow online shoppers and businesses to make their orders carbon neutral with a single click. We are backed by top VCs, executives from Facebook, Affirm, & Klaviyo, and by top-tier e-commerce founders of Chubbies, Blue Bottle Coffee, BarkBox, & Felix Gray.
We are a Series A-stage startup based in San Francisco, CA looking for a Principal ML Engineer who is motivated by building products that will help change the world. We’re growing quickly, and want you to grow with us!
Salary Range: $140,000 - $170,000Check out our tech stack on StackShare: https://stackshare.io/ecocart-io/ecocart-io
Our ideal candidate 🤩 :A self-starter who enjoys working in a collaborative, dynamic environment, who shares our customer obsession and strives to deliver the most delightful customer experience.
Someone who is highly detail oriented, has a data-driven decision making process, and most importantly, gets excited by the opportunity to make an outsized impact by building creative products that are helping save the world!

In this role you will be 💻

  • Building and refining the core technological engine of EcoCart - matching and calculating the carbon emissions of any consumer purchase
  • Putting together best-practice processes for the entire team that enable us to scale fast, but thoughtfully
  • Understanding high-level business requirements and use those to guide product feature design without hand-holding from the rest of the team
  • Maintaining the long-term quality and stability of the platform
  • Implementing automated and manual testing strategies to maintain the highest quality user experience
  • Working cross functionally to develop tools that enable growth at breakneck speeds

We are looking for 🔍

  • Minimum of 1 year in a startup environment (under 100 people) and a startup mindset, biasing towards thoughtful action with minimal direction.
  • A hands on machine learning software engineer with a passion for working on deep infrastructure issues in ML environments
  • You communicate fluidly, at the level of your audience, and seek to understand and be understood
  • You have a customer first mindset
  • You understand how to prioritize and drive the most impactful Back End infrastructure work given a company's mission and purpose
  • You have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution
  • Senior level experience or MS or PhD in computer science with a focus on ML
  • 3+ years of industry experience as a hands on expert-level practitioner of machine learning
  • 3+ years of experience leading large ML initiatives across cross functional teams in multiple organizations
  • Track record of building and maintaining large scale machine learning systems in production
  • Track record of conceiving of significant innovations that result in substantial positive impact to customers
  • Deep understanding of latest developments of ML systems, techniques, open source and cloud offerings
  • Fluent in one or more Object Oriented languages

Bonus points 🚀

  • Experience working with Shopify
  • Experience with PyTorch, or at least another major deep learning framework such as TensorFlow, MXNet.
  • Some experience with data science tools including Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, Linux environment.
  • Experience with PHP, specifically work with symfony applications
  • Past experience building out large scale APIs and developing their infrastructure is a huge bonus!

Benefits 🎉
-Series A Equity-Unlimited PTO-Flexible hours -Remote-first environment-Best-of-the-best options for medical, dental, & vision insurance-401(k)-Mental health benefits-Life insurance-Proactive, collaborative company culture with a shared vision for climate impact!-Carbon neutral life-Summer Fridays - Enjoy a half day every Friday during the summer!

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