Machine Learning Manager - Supply Chain Retail Tech
Machine Learning Manager - Supply Chain Retail Tech
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Job Description
Who We Are:
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 crossfunctional collaborative team driving development of worldclass ML systems that drive realworld impact.
The Machine Learning Science team within Wayfairs Supply Chain & Retail Tech organization is focused on building intelligent scalable systems that optimize the customer journey uplevel customer experience and streamline operational efficiency across our service and logistics ecosystem.
Our work touches millions of customers and thousands of support and fulfillment associates every day. We develop models that personalize customer service detect and prevent fraud and apply computer vision to automate everything from customer issue resolution to warehouse quality control. These systems are deeply embedded in realtime business processes and drive measurable value for both our customers and Wayfairs bottom line.
We are seeking a Machine Learning Science Manager to lead a highperforming team of ML scientists. In this role youll drive the scientific strategy coach and develop your team and play a key role in shaping the multiyear ML roadmapworking crossfunctionally to define priorities align on vision and turn complex problems into productionready solutions.
To get a better sense of the type of projects we actually work on check out our Data Science & Machine Learning blog posts here!
Please note: This role is based in Boston and hybrid. Wayfair requires employees to be in office TuesdayThursday with remote on Monday and Fridays.
What Youll Do
- Lead and mentor a team of Machine Learning Scientists working across a portfolio of projects including:
- Service Personalization: Build realtime models that enable tailored customer service experiences via dynamic routing predictive eligibility and refund abuse prevention
- Computer Vision: Use CV techniques to interpret customeruploaded images automate damage detection and improve fulfillment operations.
- Define and drive the teams scientific and strategic direction contributing to the multiyear roadmap in partnership with crossfunctional stakeholders
- Translate ambiguous highimpact business challenges into clearly scoped ML initiatives with measurable goals and aligned timelines
- Balance nearterm delivery with longterm innovation ensuring the team is focused resourced and aligned with evolving business needs
- Collaborate crossfunctionally to integrate ML systems into core business operations ensuring scalability and business impact
- Foster a collaborative growthoriented team culture supporting professional development and technical mentorship
What Youll Need
- 7 years of experience in applied Machine Learning with 2 years in a people leadership or technical lead role
- Proven experience building and deploying ML systems across a range of domains (especially in tabular data computer vision or NLP) in production environments.
- Proficiency in Python SQL and industrystandard ML frameworks (e.g. scikitlearn PyTorch TensorFlow) MLOps platform
- Strong track record of developing ML solutions from ideation through delivery
- Strong communication and stakeholder management skills; able to translate technical work into strategic decisions.
Its a bonus to have:
- Experience in customer service logistics or ecommerce domains
- Familiarity and interest in GenAI or foundation models
Why Youll 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
- 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
Massachusetts Applicants: I understand that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
About Wayfair Inc.
Wayfair is one of the worlds largest online destinations for the home. Whether you work in our global headquarters in Boston or in our warehouses or offices throughout the world were reinventing the way people shop for their homes. Through our commitment to industryleading technology and creative problemsolving we are confident that Wayfair will be home to the most rewarding work of your career. If youre looking for rapid growth constant learning and dynamic challenges then youll find that amazing career opportunities are knocking.
No matter who you are Wayfair is a place you can call home. Were a community of innovators risktakers and trailblazers who celebrate our differences and know that our unique perspectives make us stronger smarter and wellpositioned 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. Thats why were 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 If you have any questions or wish to exercise your rights under applicable privacy and data protection laws please contact us at.
Required Experience:
Manager
Employment Type
Full Time
