Senior Machine Learning Scientist - IC 3 - Ireland

at  Bed Bath Beyond

Who We Are:
Beyond is a leading online furniture and home furnishings retailer, headquartered in the USA, with an innovative Software Development base, in Sligo that build and support the e-commerce platforms for our global retail sites.
What We Do:
We innovate to deliver simple, fast, secure, and delightful experiences for our customers, partners, and teams. Our software engineering teams thrive in our positive, open, excellence driven and innovative culture. Our team members play a critical role in keeping that magic.
The Machine Learning Scientist focuses on core machine learning techniques that include search ranking, recommender systems, natural language processing, computer vision, deep learning, fraud and abuse detection, advertising technologies, personalization and predictive modeling. Our Machine Learning scientists have the opportunity to build cutting-edge e-commerce technologies in all these areas and apply their ideas in different products across our platform. We are looking for individuals who are passionate about machine learning and have a track record as production quality engineers. The Senior Machine Learning Scientist is self-sufficient and can hit the ground running.

Job Responsibilities

• Design and implement core machine learning algorithms used by different product teams, included but not limited to: search ranking, recommender systems, natural language processing, computer vision, deep learning, fraud and abuse detection, advertising technologies, personalization, marketing, CRM and supply chain
• Design A/B tests across various products to validate the performance of machine learning models
• Offline evaluation of machine learning models and establish a correlation between online A/B tests and offline metrics
• Implement machine learning models in production using various in house and on cloud technologies available to the machine learning team
• Report results of machine learning models in peer-reviewed papers and technical manuals.

Job Requirements

• Minimum of three years of industry experience as a machine learning scientist or a data scientist
• Strong analytical and quantitative skills. You are familiar with techniques in machine learning, deep learning, NLP, computer vision and or related fields.
• Strong technical and programming skills.
• Excellent collaborator and communicator and are eager to learn and grow!

Skills

• Experience in machine learning, data mining, recommendation systems, learning to rank, deep learning, natural language processing and related fields.
• Strong technical skills in programming. Especially writing production quality code.
• A Ph.D. in computer science, natural language processing, deep learning, computer vision or a related field.
• Familiarity with relevant technologies (e.g. Python, Java, and etc.).
• Experience with big data technologies such as Hadoop/Spark
• Previous history of writing and reviewing technical papers
• Ability to come up with creative solutions and quickly prototype them
• 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
Master degree in Computer Science, with experience in natural language processing, deep learning, computer vision or a related field. Ph.D. degree preferred.
Physical Requirements
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.

What We Value:

• Life/Work Balance
• Pride in Production
• Trust
• Challenge yourself, inspire others
• Success through diversity

Equal Employment Opportunity:
It is our commitment to ensure that all employment decisions are made without regard to gender, civil status, family status, sexual orientation, age, disability, race, religion and membership of the Traveller community, (protected characteristics under the Employment Equality Acts 1998-2011)

• Design and implement core machine learning algorithms used by different product teams, included but not limited to: search ranking, recommender systems, natural language processing, computer vision, deep learning, fraud and abuse detection, advertising technologies, personalization, marketing, CRM and supply chain
• Design A/B tests across various products to validate the performance of machine learning models
• Offline evaluation of machine learning models and establish a correlation between online A/B tests and offline metrics
• Implement machine learning models in production using various in house and on cloud technologies available to the machine learning team
• Report results of machine learning models in peer-reviewed papers and technical manuals