Machine Learning Scientist II - Search & Recommendations

Machine Learning Scientist II

By applying to this position, your application is automatically considered for the range of Machine Learning Scientist II roles we have at Wayfair. This includes Search, Recommendations, and Advertising. If we think you might be a fit, a recruiter will reach out to learn more about your background and discuss relevant positions in more detail. Candidates for this position are to be based, or plan to relocate, to Boston, MA and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in our Boston office Tuesday-Thursday, and remote Monday and Friday.

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

What You'll Do:

• Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers
• Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions
• Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services
• Build robust monitoring, alerting, edge-case handling mechanism
• Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
• Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on

We Are a Match Because You Have:

• Minimum 0-1 years of experience with PhD, or 3+ years of industry experience with MSc/BaSc in STEM -- engineering, computer science, economics, etc.
• Proficiency in Python or one other high-level programming language
• A strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production
• Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
• Intellectual curiosity and enthusiastic about continuous learning

Why You'll Love Wayfair:

• 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 (including US Peloton, Global ClassPass, and various regional gym memberships) 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 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.