Senior Machine Learning Scientist
Wayfair · Bengaluru · onsite · Posted today
Undisclosed10–15 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
Requirements
Nice to have
Assistance for Individuals with Disabilities
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
As a Senior ML Scientist at Wayfair, you'll shape the future of how millions of customers discover, explore, and shop for their homes through intelligent, scalable AI systems.
Responsibilities
- Lead the design, development, and deployment of large-scale machine learning systems across personalization, recommendations, search, ranking, generative AI, and customer decisioning.
- Drive technical strategy and architecture for foundational ML capabilities that are reused across multiple customer-facing products.
- Evaluate and adapt the latest advances in recommendation systems, representation learning, large language models, reinforcement learning, and foundation models to solve real-world customer problems.
- Partner closely with engineering and platform teams to productionize scalable ML systems and establish best practices for model training, inference, monitoring, and lifecycle management.
- Lead experimentation through offline evaluation, online A/B testing, and long-term measurement of business impact.
- Influence technical direction across multiple teams through architecture reviews, technical design, and cross-functional collaboration.
- Mentor scientists and engineers through technical guidance, design reviews, and scientific leadership.
- Contribute to Wayfair's broader applied science community by raising technical standards and sharing best practices.
Requirements
- PhD in Computer Science, Mathematics, Statistics, or a related field with 5+ years of relevant industry experience, or a Masters degree with 9+ years of relevant industry experience, or a Bachelors degree with 10+ years of relevant industry experience building and deploying large-scale machine learning systems.
- 4+ years of experience providing technical leadership for large-scale machine learning systems.
- Strong theoretical understanding and practical experience applying statistical, optimization, deep learning, and machine learning techniques, including transformer-based models, to production systems at scale.
- Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow to develop production-grade machine learning systems.
- Demonstrated ability to influence technical strategy, drive cross-functional alignment, and shape multi-quarter technical roadmaps.
- Intellectual curiosity and a desire to always be learning!
Nice to have
- Experience building personalization, recommendation, retrieval, ranking, optimization, or customer decisioning systems.
- Experience with representation learning, embeddings, transformer architectures, sequence models, or foundation models.
- Experience applying LLMs, generative AI, or reinforcement learning to customer-facing products.
- Experience building large-scale distributed training, retrieval, and inference systems on cloud-native ML platforms.
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Technical LeadershipManager TechnologyHP data protectorMonitoringTrainingPythonDeep LearningComputer ScienceBusiness OperationsMachine Learning
About Wayfair
Wayfair
Internet
39
employees
2002
24 years old
Boston,Massachusetts
United States
About
Wayfair is the destination for all things home: helping everyone, anywhere create their feeling of home. From expert customer service, to the development of tools that make the shopping process easier, to carrying one of the widest and deepest selections of items for every space, style, and budget, Wayfair gives everyone the power to create spaces that are just right for them.
Industries
InternetFurniture & FurnishingRetail
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