Share this Job

Job Title:  Machine Learning Engineer

Posting Date:  Feb 24, 2021

Quincy, MA, US, 02169 Salisbury, NC, US, 28147 Chicago, IL, US, 60606

FLSA:  Exempt
Job Description: 

What’s Our Dish 

Announced in May 2018, Peapod Digital Labs (PDL) is an Ahold Delhaize USA company that powers the eCommerce and digital strategies for the Great Local Brands of Ahold Delhaize USA. Accelerating growth in digital and personalization capabilities, PDL is an innovation lab focused on meeting the changing needs of customers, regardless of when, where, and how consumers choose to shop.  

Peapod continues to be a consumer-facing eCommerce brand, and is part of Peapod Digital Labs, focused on growing Peapod sales to consumers.   


Browse The Aisles

A Machine Learning Engineer is a crucial member of the Data Science team. You will be responsible for assisting our data scientists, date engineers, and dev ops engineers to deploy and scale customer-facing algorithms. This position is an opportunity to be part of a fast-growing and globally focused network of data scientists, machine learning engineers, and AI practitioners developing novel approaches to personalization and recommender engines. You will have also to have access to word class academics though our partnerships and joint contracts with universities, as well as our staff of PhDs and researchers. 


Recipe for Success - What's “in store” for the role   

  • Optimize the team’s algorithms for deployment
  • Develop transportable and customizable SDKs for our core algorithms, allowing them to be plugged into any of our apps
  • Develop SDKs for rapid prototyping and deployment of algorithms
  • Automate and orchestrate advanced split tests of models
  • Continually refine the department’s code base and ensure best development processes
  • Identify constraints, strengths, and weaknesses of technology options for each algorithms


The Essentials In Your Cart - The required ingredients  

  • Bachelor's degree; Master's degree preferred
  • 3 + years of applied Machine Learning experience
  • 2 + years of experience deploying, scaling, monitoring, and continually improving algorithms

Extra Spices - What you should bring to the table   

  • Expert in distributed computing with Spark, DevOps best practices, and containerization
  • Expert coding ability in Python and high competency with PySpark 
  • Understanding of, and experience productionizing, the following ML concepts: 
    • Collaborative filtering
    • Matrix factorization
    • Ranking algorithms
    • Advanced regression, classification, clustering, and time series algorithms
    • Automated hyperparameter tuning and model selection
    • Deep learning at scale for NLP
  • Experience deploying models on very large data using:
    • Spark, MLlib, PySpark, Scala
    • Kafka
    • Kubernetes, Docker, containerization
  • Knowledge of model management
  • Knowledge of API development best practices
  • Experience with advanced search concepts using deep learning is a plus!


Join Us at Our Table  

Peapod Digital Labs is a forward-thinking company with a strong legacy of innovation. We recognize who powers our progress – our people! We offer a great variety of benefits and perks to our employees, including: great health care options, including PPO and HSA plans (with company contributions), dental, vision, flexible spending accounts, a 401k with strong company match and immediate vesting, and generous and flexible paid time off. 


We are an equal opportunity employer. We comply with all applicable federal, state and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status or any other characteristic protected by law.  

Job Requisition:  4233

Nearest Major Market: Boston