JobSeeker Login
JobSeeker Menu
Latest News
-
No news found.
Upcoming Events
-
Louisville, KY Job Fair - October 15th
Period: 10/15/2025
Location:
L&N Federal Credit Union Stadium
2550 S Floyd St
Louisville, Kentucky 40208 -
INDIANAPOLIS, IN CAREER FAIR
Period: 10/16/2025
Location:
Holiday Inn Indianapolis/Carmel
251 Pennsylvania Parkway
Carmel, IN 46280 -
Columbus, OH Job Fair - October 16th
Period: 10/16/2025
Location:
Annunciation Banquet and Conference Center
555 N High St
Columbus, Ohio 43215 -
Kansas City, KS Job Fair - October 22nd
Period: 10/22/2025
Location:
Marriott Overland Park
10800 Metcalf Ave
Overland Park, Kansas 66210 -
LAS VEGAS, NV CAREER FAIR
Period: 10/23/2025
Location:
Sunset Station Hotel & Casino
1301 West Sunset Road
Las Vegas, NV 89014 -
DALLAS, TX CAREER FAIR
Period: 10/23/2025
Location:
DoubleTree by Hilton Arlington DFW South
1507 N. Watson Rd
Arlington, TX 76006 -
COLUMBUS, OH CAREER FAIR
Period: 10/23/2025
Location:
Crowne Plaza Columbus North - Worthington
6500 Doubletree Avenue
Columbus, OH 43229 -
ATLANTA, GA CAREER FAIR
Period: 10/23/2025
Location:
Hilton Garden Inn Atlanta Perimeter Center
1501 Lake Hearn Dr NE
Atlanta, GA 30319 -
Jacksonville, FL. Job Fair - October 23rd
Period: 10/23/2025
Location:
DoubleTree by Hilton Hotel Jacksonville Riverfront
1201 Riverplace Blvd
Jacksonville, Florida 32207 -
South Florida Job Fair - October 30th
Period: 10/30/2025
Location:
Amerant Bank Arena
Panther Pkwy
Sunrise, Florida 33323
Job details
Printer friendly ![]() | ||||
|
||||
Job Title: | Machine Learning Scientist III |
|||
Job Category: | AI - Artificial Intelligence [ View All AI - Artificial Intelligence Jobs ] | |||
Job Reference: | 249779 | |||
Job description: | ||||
Machine Learning Scientist III Location: Boston, Massachusetts Apply Job Description The base pay for this position is $176,000 - $187,000 per year. The base pay offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will be provided as part of the compensation package. 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 join the Supply Chain and Retail Tech AI org within its Service, Supply Chain and Fraud AI team.. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact. Here are some of the key projects our team works on: Delivery Date Prediction: Scalable Quantile Regression model that balances faster promise vs reliability (Blog) Graph Neural Network based Policy Abuse detection: GNN model that is robust to sophisticated identity manipulation (Blog) Personalization: Uplift model for predicting the effectiveness of different customer service policy Vision-LLM: Gen AI model for automating visual diagnostics and resolution for product refund What You?ll Do: Drive significant business impact by designing, building, and deploying large-scale machine learning models balancing short- and long-term value Work cross-functionally with commercial stakeholders to understand business problems or opportunities, and iteratively develop ML solutions maximizing business ROI Collaborate closely with cross-functional engineering partners Mentor junior ML Scientists We Are a Match Because You Have: A PhD with 3?5 years of experience, or an MSc/BSc in a STEM field (e.g., engineering, computer science, economics) with 6?8 years of industry experience. Proficiency in Python and Python ML ecosystem (XGBoost or equivalent, PyTorch) Hands-on experience deploying machine learning solutions into production. Strong written and verbal communication skills with an ability to influence cross-functional teams and leadership Nice to Have: Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow) Experience with containerization tools (Docker) Familiarity with causal inference, multi-armed bandits, personalisation Hands-on experience with LLMs Why You will Love Working With Us: Fun team outings like kayaking the Charles and Boda Borg, Early adopters of new technology within Wayfair Hackathons to explore new ideas 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. Candidates for this position are to be based, or plan to relocate, to Boston, 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. 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. State Specific Disclosures 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. |
||||
Skills: | A PhD with 3?5 years of experience, or an MSc/BSc in a STEM field (e.g., engineering, computer science, economics) with 6?8 years of industry experience. Proficiency in Python and Python ML ecosystem (XGBoost or equivalent, PyTorch) Hands-on experience deploying machine learning solutions into production. Strong written and verbal communication skills with an ability to influence cross-functional teams and leadership Nice to Have: Familiarity with GCP (or AWS, Azure), MLOps (feature store, MLflow etc) and orchestration tools (Kubeflow, Airflow) Experience with containerization tools (Docker) Familiarity with causal inference, multi-armed bandits, personalisation Hands-on experience with LLMs |
|||
Employment type: | Full Time | |||
Salary/Wage: | $176000 - 187000 | |||
Other Information |
||||
Degree: | Unspecified | |||
Experience (year): | Unspecified | |||
Job Location: | Boston, MA Massachusetts | |||
Zip/Postal Code: | 02116 | |||
Post date: | 09/25/2025 / Viewed 15 times | |||
Contact Information |
||||
Company: | Wayfair | |||
Apply Online | ||||