Senior Machine Learning Scientist, Wayfair
Supply Chain Technology
A global online homeware marketplace
Open for applications
A global online homeware marketplace
1001+ employees
Open for applications
1001+ employees
Company mission
To help everyone, anywhere create their feeling of home.
Role
Who you are
- We’re looking for a Senior Machine Learning Scientist with a background in deep learning and computer vision (CV) applications, to be the technical lead for CV applications in Supply Chain
- This is an ideal opportunity for a technical specialist who enjoys working on a variety of scientific and technical challenges, is passionate about building effective cross-functional relationships through exceptional communication skills, and is eager to make an impact on customers' end-to-end experience through advancedAI/ML techniques
- 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) 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
What the job involves
- The Supply Chain and Retail Technology Science team consists of machine learning scientists, machine learning engineers and economists who are responsible for owning and managing large-scale Artificial Intelligence/Machine Learning (AI/ML) production systems for multiple domains in supply chain including chat bots for efficiently handling customer service contacts, algorithm routing of customer contacts (patent pending), detection of fraudulent behavior and policy abuse, delivery time prediction and causal models for understanding effects of supply chain performance on customer experience
- Our vision is to build AI/ML systems to drive operational excellence throughout our supply chain
- The technical lead will own the vision and execution of a broad portfolio of initiatives, spanning a range of internal stakeholder groups
- The individual will be the primary technical lead responsible for the development of deep-learning and GenAI based image processing applications for damage/defect detection across different areas in Supply Chain including 1. Customer-facing apps 2. Inbound/outbound logistics (trailer loading, carton sortation)
- 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
Our take
Wayfair emerged in the early era of eCommerce with a mission to revolutionize online shopping, offering customers a convenient platform to purchase goods. Today, it stands as one of the foremost global players in the online furniture delivery industry, boasting an impressive inventory of over 33 million products.
Renowned for its extensive product range and comprehensive service offerings, Wayfair distinguishes itself by providing an end-to-end customer experience, from browsing to doorstep delivery. Despite its prominence, the company faces profitability challenges attributed largely to expansion expenses. Nonetheless, its solid presence in the competitive online homeware sector solidifies its position as a key contender.
With ambitious global expansion plans, Wayfair remains committed to maintaining its leadership in the industry. As it aspires to become the ultimate destination for all home needs, its more recent ventures into physical retail represent significant strides toward this overarching goal.
Kirsty
Company Specialist
Insights
Many candidates hear
back within 2 weeks
-14% employee growth in 12 months
Company
Company values
- Relentless Customer Focus: Delivering an exceptional customer experience drives everything we do. We invest in understanding our customers and partners. We are all in customer service
- Deliver Rsults With Agility: We prioritize work that drives long-term value. We execute with urgency, learn from failure, and nimbly pivot. The outcomes of our efforts are impactful, measurable results
- Use Good Judgement: We are bold and confident, never reckless. We make reasoned, calculated decisions based on data, critical thinking, and pattern recognition
- Build the Best Team: We lead by setting the bar high, articulating clear goals, and diving deep. We hire, develop, and leverage only the best. Our leaders continually reevaluate and strengthen their teams and do not shy away from hard decisions. We expect and demonstrate excellence
- Collaborate Effectively: We invest in cross-functional global partnerships that maximize impact and minimize duplication. We prize collaboration in all interactions – with our teammates, stakeholders, and suppliers. We disagree, align, and commit. Effectiveness and efficiency in collaboration are required.
- Respect Others: We earn and show respect, treating our teammates and partners with empathy and inclusion. We presume good intent while prioritizing impact. We balance confidence and candor with humility and kindness.
- Be an Owner: We are Wayfair first. We act on what’s best for the company, ahead of team or individual goals. We spend every dollar as if it is our own. We take pride in Wayfair’s success while planning the next win. We always think long-term
- Innovate & Improve: We are not limited by precedent. We boldly challenge the norm. We continually identify opportunities to innovate, improve, and simplify. We value incremental improvements, but we also look for game-changing breakthroughs.
- Adapt & Grow: We value adaptability and self-reflection. We find opportunity in every change, experience, and mistake. We are committed to continuous self-improvement.
Company HQ
Prudential / St. Botolph, Boston, MA
Articles
Leadership
Niraj Shah
(Co-Founder & CEO)Studied Engineering at Cornell University before co-founding Spinners, a Boston-based IT services company. Previously acted as Entrepreneur in Residence for Greylock and has served as CEO of Wayfair since co-founding the company in 2002.
Steven Conine
(Co-Founder)Co-founded Spinners before working for Operations at iXL. Conine also co-founded Pillar VC in 2016.
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