Machine Learning Scientist I - Early Careers

• Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value

• Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems

• Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site

• Drive measurable business value collaborating with business teams to change the course of Wayfair

• Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company

• Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings

• Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers

• Work with a team of friendly and motivated scientists working together to build novel solutions to business problems

• Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices

• 1-3 years of transferable experience in a corporate environment, including internship and co-op experience

• Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)

• Proficient knowledge of structured programming language(s) (e.g. Python)

• Experience with languages and tools relevant to data science, including Pytorch/TF, Github,Pyspark, Docker, SQL, GCP

• Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams

• Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research

Preferred Qualifications:

• Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.

• An affinity for data along with experience leveraging statistics and regression analysis

• Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value

• Familiarity with data structures, algorithms, OOP, and programming in a team environment

• Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills

• Ability to thrive in a dynamic environment where there can be degrees of ambiguity

• Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision

• Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges

• Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems

• Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices

• Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills

• Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data

• Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees

• 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching

• Automatic enrollment into Basic Life and Accidental Death & Disability Insurance

• 401(k) matching with immediate vesting

• Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services

• Tuition Reimbursement

• Wayfair Employee Discount

• Gym/Fitness Discounts

• Exclusive access to thousands of perks & discounts through BenefitHub

• Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits

Purpose & Inclusion at Wayfair:

At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility:

At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available., Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We're looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair's culture. You will have the opportunity to work on one of the following teams: sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative., The Machine Learning team builds the algorithmic systems that drive our business. With expansive workstreams (including Search, Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision , Sales, Services, and Supply Chain), and more than 20 specialized sub-teams, the projects that our teams work on directly impact our customers on a massive scale. You will work with great mentors who will help you all the way from defining the problem and identifying the potential solutions to planning the path to take it to product and potentially publishing your work in reputed AI/ML/DS venues. We work closely with stakeholders across the business to build scalable ML solutions and algorithmic platforms that drive incremental revenue, enhance the customer experience, & improve customer loyalty. The projects that our teams work on are driven from the ground up - we look for entrepreneurial individuals who want to take ownership over their own agenda and thrive in a collaborative team environment. Take for example (1) Developing novel machine learning models in search & recommendations so that the best products can be highlighted to our customers to meet their needs, (2) Optimizing profitability and business strategy by accurately forecasting future demand, costs and margin; (3) Estimating the long-term impacts on customer behavior of short-term actions via experimentation, or (4) Creating machine learning solutions to detect product duplicates across the millions of products in our catalog and scaling the solution to handle real-time uploads of new products by partners. Data is at the heart of everything we do and there is very little at Wayfair that our Machine Learning team does not touch. They work closely with various teams across the business to build and scale novel solutions to business problems via machine learning. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large and the algorithms you create will directly impact the customer's experience., 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.