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Software Engineer, Machine Learning

Remote

About Us

Hungryroot is your partner in healthy living. We get to know your lifestyle, budget, health objectives, and preferences, and we recommend and deliver nutritious groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time at the store and in the kitchen, and live a healthy (and delicious) life. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable.

We are a distributed team built on top talent from over 28 states across the U.S. While we have a headquarters in New York City, we support employees working from wherever they are based. We believe in fostering team connection and collaboration across all of our employees' locations. Expect to attend regular team building events and an annual company retreat. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work.

About the Role

We’re looking for a Software Engineer to be a part of our growing Data Science team. You’ll be responsible for working directly on our core Machine Learning / Operations Research systems such as grocery personalization, recipe selection and recommendations.

As a member of the team, you will be working collaboratively with data scientists and operations researchers to build, deploy, and maintain the backend systems that power our personalized recommendations and model-driven solutions, as well as the product engineering teams that integrate with these systems. You will be responsible for designing, optimizing, and scaling the backend services, APIs, and data pipelines that support the deployment and monitoring of machine learning models in production.

This role will join Hungryroot’s Data Science team and you’ll report directly to our Senior Machine Learning Specialist. In this critical role you will work closely with our data scientists and operation research experts to tackle the core challenges at the company that will be crucial to the success of Hungryroot. If you want to help us change how people grocery shop and eat for the better, we’d love for you to apply!

Responsibilities

  • Design and build scalable and efficient backend systems
  • Deploy and maintain ML models in production
  • Ensure system reliability and performance
  • Collaborate cross-functionally on product feature development
  • Contribute to code quality and maintain best practices

Qualifications

  • 3+ years of experience in a backend engineering role
  • Strong programming skills in languages such as Python and C++.
  • Knowledge in backend system design and strong skills in implementation
  • Working experience with databases/data pipeline tools
  • Excellent problem-solving skills and the ability to translate business problems into practical solutions

Nice to haves 

  • Experience with OR / ML tools (like Gurobi and Spark)
  • Has worked with data scientists/OR engineers in the past
  • Experience with Databricks or AWS

Perks & Benefits 

  • Remote-first: work from home, work from our NYC office, work from anywhere in the U.S. - you decide!
  • Equity 
  • Unlimited vacation policy
  • Universal paid parental leave
  • Monthly Hungryroot credit for delicious, healthy groceries
  • Comprehensive health, vision, dental, and life insurance
  • Wellbeing benefits including One Medical, Spring Health, LiveHealth, Rightway care concierge, and more
  • 401k with match
  • A work from home stipend to support your initial home-office setup

Expected Pay Range
$128,000-$160,000 USD

#LI-REMOTE

The employer will not sponsor applicants for work visas.

Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class. 

 

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