Massachusetts Jobs

<p><em>Candidates for this position are preferred to be based in Boston, MA and will be expected to comply with their team's hybrid work schedule requirements.</em></p>

<p><strong>Who We Are:&nbsp;</strong></p>

<p>Wayfair Science powers automation &amp; decision support across all Wayfair business units. Our algorithms tackle a varied &amp; broad spectrum of challenges in the Wayfair marketplace; from empowering suppliers to easily add products to our catalog, to enabling our customers to discover and purchase a vast &amp; diverse assortment of home goods, providing them the necessary sales and service support along their journey to predicting the delivery time of individual products.</p>

<p>The Supply Chain and Retail Technology Science team consists of machine learning scientists, machine learning engineers and economists who are responsible for owning and managing large-scale Artificial Intelligence/Machine Learning (AI/ML) production systems for multiple domains in supply chain including chat bots for efficiently handling customer service contacts, algorithm routing of customer contacts (patent pending), detection of fraudulent behavior and policy abuse, delivery time prediction and causal models for understanding effects of supply chain performance on customer experience. Our vision is to build AI/ML systems to drive operational excellence throughout our supply chain.</p>

<p>We’re looking for a Senior Machine Learning Scientist with a background in deep learning and computer vision (CV) applications, to be the technical lead for CV applications in Supply Chain. The technical lead will own the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups. The individual will be the primary technical lead responsible for the development of deep-learning and GenAI based image processing applications for damage/defect detection across different areas in Supply Chain including customer-facing apps and Inbound/outbound logistics (trailer loading, carton sortation). This is an ideal opportunity for a technical specialist who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact on customers' end-to-end experience through advancedAI/ML techniques.</p>

<p><strong>What You’ll Do:&nbsp;</strong></p>

<ul>

<li>Be the technical backbone of a cross-functional team of machine learning scientists, machine learning engineers in developing next-generation computer-vision products for supply chain applications</li>

<li>Formulate technical strategy and priorities in the supply chain vision space - identifying and solving high-impact ML problems</li>

</ul>

<ul>

<li>Building and selecting the best deep-learning models/architectures for further application specific fine-tuning, model evaluation and deployment integration with downstream engineering systems.</li>

<li>Collaborate with product managers, data scientists, and software engineers to understand requirements and deliver scalable solutions.</li>

<li>Develop and optimize algorithms for object detection, image classification, segmentation, and other relevant tasks.</li>

<li>Analyze and preprocess large datasets to ensure high-quality input for model training and evaluation.</li>

<li>Devise Human-in-the-loop (HITL) procedures for data labeling, model output validation and A|B testing</li>

<li>Conduct research and stay updated on the latest advancements in computer vision and machine learning to ensure the adoption of state-of-the-art techniques.</li>

<li>Participate in code reviews, technical discussions, and contribute to the continuous improvement of development processes and best practices.&nbsp;</li>

</ul>

<p><strong>We Are a Match Because:&nbsp;</strong></p>

<ul>

<li>Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning.</li>

<li><strong>Proven experience (5+ years post graduation/internship/co-op)</strong>&nbsp;in developing and deploying computer vision and machine learning models in real-world applications.</li>

<li>Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Keras</li>

<li>Proficiency in computer vision libraries and tools like OpenCV or similar.</li>

<li>Solid understanding of machine learning algorithms, data structures, and software engineering principles.</li>

<li>Experience with cloud platforms (GCP, Azure) and ML model deployment in Cloud.</li>

<li>Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.</li>

<li>Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.</li>

<li>Experience in supply chain or logistics is highly desirable but not mandatory.</li>

<li>Strong publication record in top-tier computer vision conferences is a plus.</li>

<li>Experience with ML model deployment with Edge Computing is a plus.</li>

</ul>

<p><strong>Why You'll Love Wayfair:&nbsp;</strong></p>

<ul>

<li>Time Off:

<ul>

<li>Paid Holidays</li>

<li>Paid Time Off (PTO)</li>

</ul>

</li>

<li>Health &amp; Wellness:

<ul>

<li>Full Health Benefits (Medical, Dental, Vision, HSA/FSA)</li>

<li>Life Insurance</li>

<li>Disability Protection (Short Term &amp; Long Term Disability)&nbsp;</li>

<li>Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)</li>

<li>Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)</li>

<li>Caregiver Services</li>

</ul>

</li>

<li>Financial Growth &amp; Security:

<ul>

<li>401K Matching (Employee Matching Program)</li>

<li>Tuition Reimbursement&nbsp;</li>

<li>Financial Health Education (Knowledge of Financial Education - KOFE)</li>

<li>Tax Advantaged Accounts</li>

</ul>

</li>

<li>Family Support:

<ul>

<li>Family Planning Support</li>

<li>Parental Leave</li>

<li>Global Surrogacy &amp; Adoption Policy</li>

</ul>

</li>

<li>Professional Development &amp; Recognition:

<ul>

<li>Rewards &amp; Recognition&nbsp;</li>

<li>Global Employee Anniversary Awards&nbsp;</li>

<li>Paid Volunteer Work&nbsp;</li>

</ul>

</li>

<li>Unique Perks:

<ul>

<li>Employee Discount&nbsp;</li>

<li>U.S. Bluebikes Membership</li>

<li>Global Pod Outings</li>

</ul>

</li>

<li>Work/Life Balance:

<ul>

<li>Emphasizing a supportive &amp; flexible work environment&nbsp;that encourages a balance between personal and professional commitments&nbsp;</li>

</ul>

</li>

</ul>

<p>We are looking forward to your application!</p>

<p>&nbsp;</p><div class="content-conclusion"><p><strong data-stringify-type="bold">About Wayfair Inc.</strong></p>

<p>Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, 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.</p>

<p>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.</p>

<p>Your personal data is processed in accordance with our Candidate Privacy Notice (<a class="c-link" href="https://www.wayfair.com/careers/privacy" target="blank" data-stringify-link="https://www.wayfair.com/careers/privacy" data-sk="tooltipparent">https://www.wayfair.com/careers/privacy</a>). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at&nbsp;<a class="c-link" href="mailto:dataprotectionofficer@wayfair.com" target="blank" data-stringify-link="mailto:dataprotectionofficer@wayfair.com" data-sk="tooltipparent">dataprotectionofficer@wayfair.com</a>.</p></div>