BENGALURU · FULLTIME
Machine Learning Scientist III
Wayfair
Bengaluru · onsite · Posted 69d ago
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Undisclosed0–3 yrsfulltimeBengaluru
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Section · 01
About this role
What youll do
- Design, train, evaluate, and deploy large-scale machine learning models for customer understanding, personalization, search, and recommendations.
- Evaluate and adapt advances in recommendation systems, representation learning, large language models, and foundation models to solve practical customer and business problems.
- Develop rigorous offline evaluation frameworks and design online A/B tests to measure customer and business impact.
- Collaborate with product, engineering, and analytics teams to translate ambiguous customer needs into well-defined machine learning problems.
- Partner with engineers to productionize models and build reliable, scalable training and inference pipelines.
- Monitor model performance, identify opportunities for improvement, and continuously iterate on models in production.
What you ll need
- A 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.
- Proven experience building and deploying machine learning models in production at scale.
- Strong knowledge of machine learning, statistics, optimization, and modern deep learning techniques.
- Experience designing, training, and evaluating models using large-scale datasets.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow.
- Strong software engineering fundamentals and experience partnering with engineering teams to build reliable, scalable ML systems.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to a range of audiences.
- Intellectual curiosity and a commitment to continuous learning.
Nice to have
- Experience building recommender systems, personalization models, retrieval and ranking systems, or customer understanding models.
- Experience with representation learning, embeddings, contrastive learning, sequence modeling, or transformer architectures.
- Experience with distributed model training and large-scale retrieval and inference pipelines.
- Experience with cloud platforms such as GCP, AWS, or Azure.
- Familiarity with MLOps and workflow orchestration tools such as Airflow, Kubeflow, MLflow, or Vertex AI.
- Experience applying large language models or generative AI techniques to personalization, search, or recommendation problems.
Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
Sourced from naukri
Section · 02
Skills
cloud platformsgoogle cloud platformamazon web servicesdata protectionapache airflowKubeflowHypothesis TestingEmbeddingsAnalyticsLarge Language Models (LLMs)deploymentcloudCommunication SkillsAlgorithmsDeep LearningBusiness OperationsMicrosoft AzureGenerative AiArtificial Intelligence
Section · Company
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
Employee ratings
43 reviews
3.1/ 5
Culture
3.3
Career growth
2.4
Work-life
3.7
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