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Urgent! Wayfair - Software Engineer II - Machine Learning Job Opening In Bengaluru – Now Hiring Wayfair

Wayfair Software Engineer II Machine Learning



Job description

<p><p><b>Location:</b> 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.<br/><br/> <b>Who We Are :</b><br/><br/> Wayfair is one of the worlds largest destinations for the home, powered by a complex technology ecosystem that enables millions of customers to find the right products, at the right price, delivered seamlessly to their doorsteps.<br/><br/> Pricing and profitability are at the heart of Wayfairs strategy, and the algorithms that support them are critical to ensuring we remain competitive and sustainable.<br/><br/> We are building horizontally scalable systems that power price generation, simulations, and profitability modeling relying on data, experimentation, and machine learning to guide our decisions.<br/><br/> These systems enable us to react quickly to market trends, optimize gross margins, and ensure an outstanding customer experience.<br/><br/> We are looking for passionate backend engineers to help us build and scale these mission-critical systems that drive decisions across pricing, profit, product placement, and customer satisfaction.<br/><br/> This role sits at the intersection of backend engineering, data platforms, and applied machine learning transforming experimental models into reliable, production-ready systems that operate at scale.<br/><br/> Engineers in this space will not only solve complex technical challenges but also directly shape the way Wayfair competes in the global marketplace through smarter pricing and profitability strategies.<br/><br/> <b>What Youll Do :</b><br/><br/> - Collaborate with Data Scientists and fellow Software Engineers to bring ML models into production.<br/><br/> - Design, build, and maintain backend services and data pipelines that enable data-driven decision-making.<br/><br/> - Write efficient, scalable, and maintainable code in Python, with a focus on high reliability and performance.<br/><br/> - Develop and optimize Google BigQuery (GBQ)/SQL queries, including joins and aggregations across large datasets.<br/><br/> - Ensure production readiness through testing, monitoring, deployment, documentation, and proactive troubleshooting.<br/><br/> - Use orchestration tools (e.g., Cloud Composer) to schedule and manage workflows.<br/><br/> - Support report generation and integrations with tools like Looker Studio or similar.<br/><br/> - Take ownership of projects end-to-end, from design and implementation to scaling and ongoing maintenance.<br/><br/> - Balance the open-ended nature of science-driven experiments with the rigor of production-grade engineering.<br/><br/> <b>We Are a Match Because You Have :</b><br/><br/> - 3 5 years of experience in backend software engineering with strong Python development skills.<br/><br/> - Experience with SQL/GBQ, including writing queries and handling large-scale data.<br/><br/> - Proven experience building and maintaining production systems with a focus on reliability.<br/><br/> - A strong sense of ownership, curiosity, and continuous improvement mindset.<br/><br/> - Excellent problem-solving and collaboration skills across technical and non-technical partners.<br/><br/> <b>Nice to Have :</b><br/><br/> - Experience working with Data Scientists to productionize ML models.<br/><br/> - Familiarity with orchestration software (e.g., Cloud Composer, Airflow).<br/><br/> - Experience with monitoring and alerting tools (e.g., DataDog, Prometheus).<br/><br/> - Exposure to reporting/visualization tools (e.g., Looker Studio, Tableau).<br/></p><br/></p> (ref:hirist.tech)


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