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Machine Learning Scientist II

  • Toronto, ON, Canada

$168,960 to $188,776.5 CAD / year · Full-time

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Job details

Pay
$168,960 to $188,776.5 CAD / year
Job type
Full-time
Apply by
Posting language
English
Posted

Original job description

The ML Scientist II in Wayfair's Applied Research organization designs and implements machine learning algorithms that enable systems to learn from data and make informed predictions or decisions. This role involves developing models, fine-tuning algorithms, and deploying scalable machine learning solutions to drive Wayfair's innovation and solve problems. You will apply a strong understanding of machine learning principles, experimental methodologies, statistics, and optimization in this position. Collaborating with cross-functional teams, including engineering and product management, you will integrate these insights into company-wide decision-making processes and systems, ultimately being at the forefront of applying ML and artificial intelligence at Wayfair to advance various business aspects through sophisticated machine learning techniques.

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

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About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.
More about this job

Responsibilities

Design and implement machine learning algorithms, develop and fine-tune models, and deploy scalable solutions to support predictions, decisions, and business innovation. Collaborate with engineering and product management teams to apply machine learning insights to company-wide systems and decision-making.

Requirements

The role calls for a strong understanding of machine learning principles, experimental methodologies, statistics, and optimization. It also involves developing models and scalable machine learning solutions and collaborating across functions; no specific education or years of experience are stated.

Skills

  • Machine Learning
  • Artificial Intelligence
  • Algorithm Development
  • Model Development
  • Algorithm Fine-Tuning
  • Machine Learning Deployment
  • Statistics
  • Experimental Methodologies
  • Optimization
  • Cross-Functional Collaboration
  • Data-Driven Decision-Making

Visa sponsorship

Not detected in the job text

Categories

  • Science & Research
  • Technology
  • Data & Analytics
  • Software
  • Retail

Keywords

  • Machine Learning
  • Artificial Intelligence
  • Applied Research
  • Machine Learning Algorithms
  • Model Development
  • Algorithm Fine-Tuning
  • Scalable Solutions
  • Machine Learning Deployment
  • Data
  • Predictions
  • Decision-Making
  • Machine Learning Principles
  • Experimental Methodologies
  • Statistics
  • Optimization
  • Cross-Functional Teams
  • Engineering
  • Product Management
  • Retail

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