{"id":3677540,"url":"https://alion.io/job/wayfair-senior-machine-learning-scientist-2","title":"Senior Machine Learning Scientist","company":{"id":1204,"name":"Wayfair","domain":"wayfair.com","url":"https://alion.io/company/wayfair","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Embeddings","optional":true}],"status":"live","first_seen_at":"2026-11-03T11:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-03T11:35:00Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"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. We are looking for an experienced Senior Machine Learning Scientist to lead the development of the next generation of intelligent customer experiences at Wayfair. You will design and deploy large-scale machine learning systems that power personalisation, recommendations, search, marketing decisioning, GenAI experiences, and other customer-facing products.\n\nWorking closely with engineers, product managers, platform teams, and fellow scientists, you will own highly ambiguous technical problems from research through production. You will shape technical strategy, mentor scientists through technical leadership, and help bring state-of-the-art machine learning research into production for millions of customers. The solutions you build will become foundational capabilities that are reused across multiple customer technology domains, enabling personalisation and intelligent decision-making throughout the Wayfair ecosystem.\n\nResponsibilities: \nLead the design, development, and deployment of large-scale machine learning systems across personalisation, recommendations, search, ranking, generative AI, and customer decisioning.\nDrive technical strategy and architecture for foundational ML capabilities that are reused across multiple customer-facing products.\nEvaluate and adapt the latest advances in recommendation systems, representation learning, large language models, reinforcement learning, and foundation models to solve real-world customer problems.\nPartner closely with engineering and platform teams to productionize scalable ML systems and establish best practices for model training, inference, monitoring, and lifecycle management.\nLead experimentation through offline evaluation, online A/B testing, and long-term measurement of business impact.\nInfluence technical direction across multiple teams through architecture reviews, technical design, and cross-functional collaboration.\nMentor scientists and engineers through technical guidance, design reviews, and scientific leadership.\nContribute to Wayfair's broader applied science community by raising technical standards and sharing best practices.\n\nRequirements: \nPhD in Computer Science, Mathematics, Statistics, or a related field with 5+ years of relevant industry experience, or a Master's degree with 9+ years of relevant industry experience, or a Bachelor's degree with 10+ years of relevant industry experience building and deploying large-scale machine learning systems.\n4+ years of experience providing technical leadership for large-scale machine learning systems.\nStrong theoretical understanding and practical experience applying statistical, optimisation, deep learning, and machine learning techniques, including transformer-based models, to production systems at scale.\nProficiency in Python and modern ML frameworks such as PyTorch or TensorFlow to develop production-grade machine learning systems.\nDemonstrated ability to influence technical strategy, drive cross-functional alignment, and shape multi-quarter technical roadmaps.\nIntellectual curiosity and a desire to always be learning!\n\nNice to have: \nExperience building personalisation, recommendation, retrieval, ranking, optimisation, or customer decisioning systems.\nExperience with representation learning, embeddings, transformer architectures, sequence models, or foundation models.\nExperience applying LLMs, generative AI, or reinforcement learning to customer-facing products.\nExperience building large-scale distributed training, retrieval, and inference systems on cloud-native ML platforms.\nSkills\nML, Machine Learning, PyTorch, Python, 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