Machine Learning Scientist I

Salary Range: $132,500 - $150,700 per year

Location: Toronto, ON

This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Who We Are:

What You’ll Do:

• Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value

• Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems

• Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site

• Drive measurable business value collaborating with business teams to change the course of Wayfair

• Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company

• Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings

• Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers

• Work with a team of friendly and motivated scientists working together to build novel solutions to business problems

• Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices

• Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops

What You’ll Need:

Basic Qualifications

• 1-3 years of transferable experience in a corporate environment, including internship and co-op experience

• Master’s degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, or Bachelor's degree in a quantitative field + 1+ years of experience

• Proficient knowledge of structured programming language(s) (. Python)

• Experience with languages and tools relevant to data science, including Pytorch/TF, Github,Pyspark, Docker, SQL, GCP

• Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams

• Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research

Preferred Qualifications:

• Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.

• An affinity for data along with experience leveraging statistics and regression analysis

• Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value

• Familiarity with data structures, algorithms, OOP, and programming in a team environment

• Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills

• Ability to thrive in a dynamic environment where there can be degrees of ambiguity

• Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision

• Hands-on experience with large language models (., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges

• Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems

• Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices

• Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills

• Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data

Why You’ll Love Wayfair:

Benefits & Perks - Canada

• In addition to provincial healthcare, Wayfair offers Canadian employees additional extended health care through Desjardins.

• Global Traveler Health Insurance through GeoBlue.

• 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.

• Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.

• Registered Retirement Savings Plan with day one vesting.

• Paid Parental Leave and Surrogacy & Adoption Reimbursement.

• Tuition Reimbursement.

• Personalized financial planning through LearnLux.

• Wayfair Employee Discount.

• Gym/Fitness Discounts (including Peloton, GoodLife Global ClassPass).

• Exclusive access to thousands of perks & discounts through Perkopolis and BenefitHub.

• Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

Purpose & Inclusion at Wayfair:

At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility:

At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.

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.