Machine Learning/Data Science Intern

almost 2 years ago
Internship
San Francisco, CA, US... more
San Francisco, CA, US... more

Company

Afresh is on a mission to reduce food waste and increase access to nutritious food globally by transforming the fresh ...

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Job Description

Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 6.9 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

About the role

The Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies.

We aim to have an intern join our team for the summer to work on improving the core models of our system: demand forecasting, inventory optimization, and simulation. You will get exposure in modeling complex problems like inventory decay, promotions, price elasticity, and inventory uncertainty, and implement solutions to multi-stage and multi-echelon inventory optimization problems.

 

Skills and experience 

The following represent attributes our ideal candidate possesses. We encourage all highly-qualified candidates to apply, even if they do not fulfill all the listed criteria.

  • An expected degree (BS, MS, PhD) in Operations Research, Industrial Engineering, Computer Science, Electrical Engineering, or related quantitative field. We will also consider candidates who are within 1 year of their graduation date. 
  • Strong performance in quantitative classwork, such as statistics or computer science and/or a strong portfolio featuring their data science and machine learning skills 
  • Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English and easily translate business requirements into constrained optimization problems.
  • Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc.). Knowing Python before joining is not required but strongly recommended. 

 

About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $30 million in funding from investors including Eric Schmidt's Innovation Endeavors and James McCann (former CEO Tesco, Ahold, Carrefour). In 2021, we received an Honorable Mention for Fast Company's World Changing Ideas in Food.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

A qualified candidate must reside in or be willing to relocate to one of these states to be considered: AR, CA, CO, FL, GA, IL, KY, MA, MI, MS, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI

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