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


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)

Required Skill Profession

Computer Occupations


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Unlock Your Wayfair Software Potential: Insight & Career Growth Guide


Real-time Wayfair Software Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Wayfair Software in Bengaluru, India, highlighting market share and opportunities for professionals in Wayfair Software roles.

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Are You Looking for Wayfair Software Engineer II Machine Learning Job?

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The Work Culture

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7. Obeying India laws and regulations

What Is the Average Salary Range for Wayfair Software Engineer II Machine Learning Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Wayfair Software Engineer II Machine Learning?

Key qualifications for Wayfair Software Engineer II Machine Learning typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Wayfair Software Engineer II Machine Learning Job Success

Wayfair interview tips for Wayfair   Software Engineer II   Machine Learning

Here are some tips to help you prepare for and ace your Wayfair Software Engineer II Machine Learning job interview:

Before the Interview:

Research: Learn about the Wayfair's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Wayfair Software Engineer II Machine Learning interview at Wayfair, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Wayfair's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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