<p><strong>Machine Learning Engineer</strong></p>

　　<p><strong>About Us:</strong></p>

　　<p>Wayfair, one of the world's largest online destinations for the home, is looking for a talented and forward-thinking Machine Learning &amp; Artificial Intelligence Engineer to join our innovative technology team. At Wayfair, we are committed to transforming the way people shop for their homes, and our technology plays a pivotal role in achieving that vision.</p>

　　<p><strong>Position Overview:</strong></p>

　　<p>As a Machine Learning &amp; Artificial Intelligence Engineer at Wayfair, you will have the opportunity to work on cutting-edge projects that enhance the customer experience and drive business growth. You will collaborate with a team of talented engineers, data scientists, and business experts to develop and implement machine learning and artificial intelligence solutions that shape the future of e-commerce.</p>

　　<p><strong>Key Responsibilities:</strong></p>

　　<ul>

　　<li>3+ yrs of industry experience as a machine learning and software engineer</li>

　　<li>Experience building backend systems at scale with a focus on data processing/machine learning/analytics.</li>

　　<li>Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.&nbsp;</li>

　　<li>Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.</li>

　　<li>Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.</li>

　　<li>Work closely with cross-functional teams, including data scientists, software engineers, and domain experts, to understand business requirements and deliver effective solutions.</li>

　　<li>Document code, algorithms, and processes to ensure transparency and maintainability.</li>

　　</ul>

　　<p><strong>Qualifications:</strong></p>

　　<ul>

　　<li>Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.</li>

　　<li>Proven experience in developing and implementing machine learning algorithms and AI solutions.</li>

　　<li>Strong programming skills in languages such as Python, R, or Java.</li>

　　<li>Solid understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and deep learning concepts.</li>

　　<li>Proficiency in data preprocessing, feature engineering, and model evaluation.</li>

　　<li>Experience with big data technologies (Hadoop, Spark) is a plus.</li>

　　<li>Excellent problem-solving and analytical skills.</li>

　　<li>Strong communication and collaboration skills.</li>

　　</ul>

　　<p>&nbsp;</p><div class="content-conclusion"><p><strong>Assistance for Individuals with Disabilities</strong></p>

　　<p>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&nbsp;<a href="https://docs.google.com/forms/d/1ElBqKaQYGR9j0NiQHQYCGbHkqKqN746Nk62pI32IyLU" target="_blank">Accomodations for Applicants form</a>.</p>

　　<p><strong>Need Assistance?</strong></p>

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　　<div class="p-richtextsection">For more information about applying for a career at Wayfair, visit our <a href="https://www.aboutwayfair.com/careers/careers-faq" target="_blank">FAQ page here</a>.&nbsp;</div>

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　　<p><strong>About Wayfair Inc.</strong><br>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>We are interested in retaining your data for a period of 12 months to consider you for suitable positions within Wayfair. Your personal data is processed in accordance with our Candidate Privacy Notice (which can found here: https://www.wayfair.com/careers/privacy). If you have any questions regarding our processing of your personal data, please contact us at [email protected]. If you would rather not have us retain your data please contact us anytime at [email protected].&nbsp;</p></div>