Senior Machine Learning Engineer

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.

Job Opening: Senior Machine Learning Engineer

Job Duties:

• Develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness, focusing on both demand forecasting and optimization.
• Build end-to-end solutions utilizing our unique data sources, from data exploration, model design, training, testing, deployment, to monitoring and maintenance.
• Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges within pricing and promotional planning, aimed at improving revenue growth, profitability, and overall business efficiency.
• Drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
• Job Requirements: Job requires a bachelor’s degree in Information Science or related fields and 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position. Candidate must have 2 years of professional experience in:
• Deep Learning Model Design and Architecture
• Traditional Machine Learning for Production Use Cases
• Time-Series Forecasting and Decision Modeling
• Multimodal and Unstructured Data Modeling
• Representation Learning, Embeddings, and Retrieval Systems
• Generative AI / LLM Applications
• Production ML Infrastructure and Cloud Deployment

Employer will accept any suitable combination of education, training, or experience. Employer will accept a bachelor’s degree (or foreign equivalent) in one of the requisite fields followed by 24 months of experience in the position of Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position.