Machine Learning Scientist I, Predictive Search & Guidance

Bangalore, Karnataka
Permanent
Full-time

7 days ago

Location: Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.Job Title: Machine Learning Scientist IWho we areWayfair 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. Wayfair's Search, Marketing, and Recommendations ML teams build algorithmic systems that drive our business, enhance customer experience, and improve customer loyalty powering what our customers see on and off our site at web scale. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.What you'll do

Design, build, deploy and refine large-scale machine learning/AI models and algorithmic decision-making systems that solve real-world problems for customers
Work cross-functionally with commercial stakeholders, engineers, analysts, and product managers to understand business problems or opportunities and develop appropriately scoped ML solutions
Collaborate closely with various infrastructure, and ML platform teams to develop production grade services that follow best-practices in how we build and deploy scalable ML services
Build cutting edge robust ML models and systems that directly impact our customers every day
Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on

What you'll need

1+ years of industry experience with a Master's or a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
Proficiency in Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.)
A strong theoretical understanding and solid hands-on experience working with machine learning algorithms.
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity and efficiency
Intellectual curiosity and enthusiasm about continuous learning

Nice to have

Some prior experience or a high-level understanding of search, recommendations and ranking in an e-commerce setting would be a strong plus.
Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) experience or Java experience
Familiarity with cloud based compute approaches GCP (or AWS, Azure), ML model development frameworks, and ML orchestration tools (Airflow, Kubeflow, VertexAI, etc)
Experience with Kubernetes and Docker
Clear track record of publishing or work related projects showing ability to develop cutting edge AI systems.

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 .

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