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Salary: USD 137,093 - 0 / annual
Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail. The company partners with local suppliers, redesigns the value chain, and leverages social buying to reshape the grocery business. Weee! is headquartered in Fremont, CA, operates coast to coast with 5x year-over-year growth, and has raised $800M+ from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, and others. The company is preparing for the next stage of growth and an eventual public listing.
As a Senior Machine Learning Engineer, you will develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness, with a focus on demand forecasting and optimization. You will build end-to-end solutions utilizing Weee!'s unique data sources, from data exploration and model design through training, testing, deployment, monitoring, and maintenance. You will 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. You will also drive insights and strategies by leveraging strong analytical skills along with machine learning and statistical models to capitalize on new business opportunities.
This role is onsite 5 days a week in Fremont, CA.
REQUIREMENTS:
- Bachelor's degree in Information Science or related fields
- 24 months of professional experience as a Quantitative Analyst, Artificial Intelligence Engineer, or in a Machine Learning-related position
- 2+ years of professional experience in at least one of the following areas:
• 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
