Machine Learning Engineer II — Remote & Impactful ML

Bed Bath & Beyond, Inc.; Arkansas; Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

401k 6% match

Flexible schedules

Onsite Health Clinic

Tuition Reimbursement

Leadership Development Program

Mentorship Program

Onsite Fitness Center

Employee Resource Groups

And More…

Job summary

Bed Bath & Beyond, Inc. seeks a software engineer to build web services, data pipelines, and ML infrastructure powering the company website. You will help design core ML algorithms for search, ads, recommendations, and personalization, collaborating across product teams and management.

The role supports remote work with occasional on-site expectations; you’ll contribute to scalable systems, analytics, and large-scale data processing in a retail tech environment.

Qualifications

• Minimum three years of professional software development experience.

Responsibilities

• Build the webservices, data pipelines, and software infrastructure required to develop and deploy machine learning functionality to the production website.
• Assist in the design and implementation of core machine learning algorithms used by product teams, including:
• Search ranking, sponsored products ads, advertising technologies, recommendations, personalization, marketing
• Perform other duties as required and assigned by manager and upper management.

Skills

Java

Python

SQL

Performance optimization

Collaboration

Education

Bachelor's Degree in Computer Science

Tools

Google Cloud Platform

Hadoop

Spark

Kafka

TensorFlow

Keras

Torch

CUDA

Kubernetes

Docker

Airflow

Linux

bash

Redis

Cassandra

RDBMS

Solr

Job description

Bed Bath & Beyond, Inc. seeks a software engineer to build web services, data pipelines, and ML infrastructure powering the company website. You will help design core ML algorithms for search, ads, recommendations, and personalization, collaborating across product teams and management.

The role supports remote work with occasional on-site expectations; you’ll contribute to scalable systems, analytics, and large-scale data processing in a retail tech environment.