Machine Learning Scientist I - Early Careers

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

We work closely with stakeholders across the business to build scalable ML solutions and algorithmic platforms that drive incremental revenue, enhance the customer experience, & improve customer loyalty. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals who want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) Developing novel machine learning models in search & recommendations so that the best products can be highlighted to our customers to meet their needs, (2) Optimizing profitability and business strategy by accurately forecasting future demand, costs and margin; (3) Estimating the long-term impacts on customer behavior of short-term actions via experimentation, or (4) Creating machine learning solutions to detect product duplicates across the millions of products in our catalog and scaling the solution to handle real-time uploads of new products by partners. Data is at the heart of everything we do and there is very little at Wayfair that our Machine Learning team does not touch. They work closely with various teams across the business to build and scale novel solutions to business problems via machine learning. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large and the algorithms you create will directly impact the customer’s experience.

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

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

• Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)
• Proficient knowledge of structured programming language(s) (e.g. 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 (e.g., 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.

• Time Off:

• • Paid Holidays
  • Paid Time Off (PTO)
• Health & Wellness:
• • Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
  • Life Insurance
  • Disability Protection (Short Term & Long Term Disability)
  • Global Wellbeing: Gym/Fitness discounts
  • Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
  • Caregiver Services
• Financial Growth & Security:
• • 401K Matching (Employee Matching Program)
  • Tuition Reimbursement
  • Financial Health Education (Knowledge of Financial Education - KOFE)
  • Tax Advantaged Accounts
• Family Support:
• • Family Planning Support
  • Parental Leave
  • Global Surrogacy & Adoption Policy
• Professional Development & Recognition:
• • Rewards & Recognition
  • Global Employee Anniversary Awards
  • Paid Volunteer Work
• Unique Perks:
• • Employee Discount
  • U.S. Bluebikes Membership
  • Global Pod Outings
• Work/Life Balance:
• • Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments

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.