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Senior Machine Learning Scientist

Supply Chain Technology

Confirmed live in the last 24 hours



10,001+ employees

E-commerce platform for furniture and decor

Consumer Goods


Boston, MA, USA

Applied Machine Learning
Computer Vision
AI & Machine Learning
Required Skills
Microsoft Azure
Data Structures & Algorithms
Computer Vision
Google Cloud Platform
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning
  • Proven experience (5+ years post graduation/internship/co-op) in developing and deploying computer vision and machine learning models in real-world applications
  • Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, Keras
  • Proficiency in computer vision libraries and tools like OpenCV or similar
  • Solid understanding of machine learning algorithms, data structures, and software engineering principles
  • Experience with cloud platforms (GCP, Azure) and ML model deployment in Cloud
  • Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment
  • Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders
  • Experience in supply chain or logistics is highly desirable but not mandatory
  • Strong publication record in top-tier computer vision conferences is a plus
  • Experience with ML model deployment with Edge Computing is a plus
  • Be the technical backbone of a cross-functional team of machine learning scientists, machine learning engineers in developing next-generation computer-vision products for supply chain applications
  • Formulate technical strategy and priorities in the supply chain vision space - identifying and solving high-impact ML problems
  • Building and selecting the best deep-learning models/architectures for further application specific fine-tuning, model evaluation and deployment integration with downstream engineering systems
  • Collaborate with product managers, data scientists, and software engineers to understand requirements and deliver scalable solutions
  • Develop and optimize algorithms for object detection, image classification, segmentation, and other relevant tasks
  • Analyze and preprocess large datasets to ensure high-quality input for model training and evaluation
  • Devise Human-in-the-loop (HITL) procedures for data labeling, model output validation and A|B testing
  • Conduct research and stay updated on the latest advancements in computer vision and machine learning to ensure the adoption of state-of-the-art techniques
  • Participate in code reviews, technical discussions, and contribute to the continuous improvement of development processes and best practices

Wayfair is a leading e-commerce platform specializing in home furnishings and decor, offering an expansive selection that caters to diverse tastes and budgets. The company stands out for its strong customer-centric approach, utilizing advanced e-commerce technologies to enhance the shopping experience. Working at Wayfair provides employees with the opportunity to be part of a dynamic team that values innovation in digital commerce and customer engagement, making it an ideal environment for professionals passionate about driving technological advancements in the retail industry.

Company Stage


Total Funding



Boston, Massachusetts



Growth & Insights

6 month growth


1 year growth


2 year growth