ABOUT WEEE!

Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch.
Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.

REQUIRED QUALIFICATIONS

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 6+ years of experience in building and deploying ML models at scale, with at least 2+ years in a leadership role managing ML teams.
• Strong experience in ML frameworks such as TensorFlow, PyTorch, JAX, or Scikit-learn.
• Proficiency in programming languages like Python.
• Hands-on experience with cloud-based ML services (AWS SageMaker, GCP Vertex AI, Azure ML).
• Strong knowledge of feature engineering, model explainability, bias mitigation, and ethical AI practices.
• Experience with ML applications in e-commerce, including recommendation systems, search ranking, fraud detection, and demand forecasting.
• Experience in GPU acceleration, high-performance computing, or ML model optimization.
• Experience working with graph neural networks, deep reinforcement learning, or generative AI.
• Familiarity with business intelligence tools and data visualization for ML insights.
• Contributions to open-source ML projects or published research in ML-related fields.
• Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

RESPONSIBILITIES

• Lead and mentor a team of Machine Learning (ML) engineers and researchers, fostering a high-performance culture and driving innovation.
• Oversee the design, development, and deployment of scalable ML models and systems, optimizing performance across e-commerce platforms.
• Define and drive the end-to-end ML lifecycle, including data collection, model training, validation, deployment, monitoring, and improvement.
• Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to align ML initiatives with company goals.
• Develop ML solutions for recommendation systems, personalization, ranking, and demand forecasting.
• Optimize ML infrastructure, ensuring efficient resource utilization and scalability, including leveraging cloud-based ML environments.
• Establish and enforce model governance, data privacy, and compliance frameworks within ML workflows.
• Drive research and innovation in ML techniques, leveraging deep learning, reinforcement learning, and generative AI for business impact.
• Partner with business leaders to define key metrics and success criteria for ML models, ensuring alignment with broader business objectives.
• Stay up to date with the latest ML advancements and assess their applicability to the company’s business problems.