{"id":564174,"url":"https://alion.io/job/wayfair-machine-learning-scientist-iii","title":"Machine Learning Scientist III","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":"middle","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":{"min_usd":22000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":32},"experience_years_min":6,"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":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Contrastive Learning","optional":true},{"name":"Embeddings","optional":true},{"name":"GCP","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"closed","first_seen_at":"2026-09-09T08:42:15Z","employer_posted_date":null,"last_verified_at":"2026-10-30T20:36:15Z","board_verified":false,"closed_at":"2026-10-30T20:36:15Z","days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"We are looking for an experienced Machine Learning Scientist to develop the next generation of personalization and customer understanding systems at Wayfair. You will build large-scale models that learn from billions of customer interactions to improve content recommendations, personalized search, and product discovery. You will also create reusable customer representations that support experiences across the Wayfair ecosystem.\nIn this role, you will own machine learning solutions end-to-end, from problem definition and hypothesis testing to model development, evaluation, and production deployment. You will partner closely with engineers, product managers, platform teams, and scientists to solve complex challenges in representation learning, ranking, retrieval, and personalization. Your work will translate advances in machine learning research into scalable capabilities used across search, recommendations, marketing, and other customer-facing products, improving relevance and discovery for millions of customers.\nResponsibilities:\nDesign, train, evaluate, and deploy large-scale machine learning models for customer understanding, personalization, search, and recommendations.\nEvaluate and adapt advances in recommendation systems, representation learning, large language models, and foundation models to solve practical customer and business problems.\nDevelop rigorous offline evaluation frameworks and design online A/B tests to measure customer and business impact.\nCollaborate with product, engineering, and analytics teams to translate ambiguous customer needs into well-defined machine learning problems.\nPartner with engineers to productionize models and build reliable, scalable training and inference pipelines.\nMonitor model performance, identify opportunities for improvement, and continuously iterate on models in production.\nRequirements:\nA bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 6+ years of relevant industry experience; or a master's degree in a related field with 4+ years of relevant industry experience.\nProven experience building and deploying machine learning models in production at scale.\nStrong knowledge of machine learning, statistics, optimization, and modern deep learning techniques.\nExperience designing, training, and evaluating models using large-scale datasets.\nProficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.\nStrong software engineering fundamentals and experience partnering with engineering teams to build reliable, scalable ML systems.\nExcellent written and verbal communication skills, with the ability to explain complex technical concepts to a range of audiences.\nIntellectual curiosity and a commitment to continuous learning.\nNice to have:\nExperience building recommender systems, personalization models, retrieval and ranking systems, or customer understanding models.\nExperience with representation learning, embeddings, contrastive learning, sequence modeling, or transformer architectures.\nExperience with distributed model training and large-scale retrieval and inference pipelines.\nExperience with cloud platforms such as GCP, AWS, or Azure.\nFamiliarity with MLOps and workflow orchestration tools such as Airflow, Kubeflow, MLflow, or Vertex AI.\nExperience applying large language models or generative AI techniques to personalization, search, or recommendation problems.","description_format":"text","description_chars":3436,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous 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cards)"],"filings_for_role_12m":132}],"liveness":null,"pay":null,"html_url":"https://alion.io/job/wayfair-machine-learning-scientist-iii","json_url":"https://alion.io/job/wayfair-machine-learning-scientist-iii.json","meta":{"generated_at":"2026-10-31T17:18:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27127,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by 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