Machine Learning Engineer II

We Go Beyond:

At Bed Bath & Beyond, we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced.

Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.

Machine learning is a key initiative for Bed Bath & Beyond as we strive to help our customers find great deals on furniture, décor, and other items to make every home a dream home.

This position is eligible for remote work. Currently we can hire employees in the following states: Arizona, Connecticut, Florida, Georgia, Idaho, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Texas, Utah, Virginia, Wisconsin, Wyoming. This role will have occasional on site expectations.

Job 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.

Job Requirements

​• Minimum three years of professional software development experience.

• Strong coding skills, including proficiency in Java, Python, and SQL.

• Ability to design and build highly performant and scalable systems.

• Strong analytical and quantitative skills. You have basic familiarity with techniques in machine learning, analytics and/or related fields.

• Excellent collaborator and communicator and are eager to learn and grow!

Skills

​• Experience with webservice development.

• Experience with big data technologies such as Hadoop/Spark.

• Experience with informational retrieval technologies such as search engines and recommendation systems.

• Experience building batch and streaming data pipelines.

• Experience in data mining, learning to rank, deep learning, natural language processing, machine learning, and/or related fields.

• Proficiency with unit, integration, and performance testing.

• Reasonable overlap with the following relevant technologies and processes:

• Java, Python

• Google Cloud Platform

• Hadoop, SQL

• Kafka, Beam

• Tensorflow, Keras, Torch, CUDA

• Kubernetes, Docker, Airflow

• Linux, bash

• Redis, Cassandra, RDBMS, Bigtable, HBase, Solr

• Continuous Integration

• Performance testing and troubleshooting

• Strong desire to collaborate and develop new technologies.

• Willingness to learn new tools and flexibility to adapt to different deployment pipelines

• Strong communication abilities and willingness to lead and inspire other engineers

Education

​Bachelor's Degree in Computer Science or a related technical field or equivalent experience

Who We Are:

We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.

What We Offer:

401k (6% match)

Flexible Schedules

Onsite Health Clinic

Tuition Reimbursement, Leadership Development Program, & Mentorship Program

Onsite Fitness Center

Employee Resource Groups (LatinX, Black Employee Network, LGBTQIA+, Women’s Network, Women In Tech)

And More…

*Benefits vary based on position, tenure, location, and employee election

Physical

Requirements

• This position requires you to sit, stand and perform general office functions.
• You may also be required to lift up to 25 pounds occasionally.
• Bending, stooping and reaching are also frequently required.

Equal Employment Opportunity

It is our policy to provide equal employment opportunity for all applicants and associates. This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.

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