Machine Learning Scientist III Job at Wayfair, Boston, MA

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  • Wayfair
  • Boston, MA

Job Description

The ML Scientist III in Wayfair's Applied Research organization independently designs and implements sophisticated machine learning algorithms that empower systems to learn from data and generate predictions or decisions. This role involves advancing model development, meticulously fine-tuning algorithms, and deploying robust, scalable machine learning solutions to foster innovation and tackle intricate challenges across the company. You will apply a deep understanding of machine learning, experimental methodologies, advanced statistical analysis, optimization techniques, and probabilistic modeling. You will also mentor and share your knowledge with junior team members, collaborating with cross-functional teams, including engineering, product management, and business peers, to integrate these insights into company-wide decision-making processes and systems. You will be at the forefront of applying ML and artificial intelligence at Wayfair to solve complex, real-world business problems and potentially guide the work of others.

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.



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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 ( 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.

Job Tags

Full time

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