Senior Machine Learning Engineer

Weee•Fremont, CA

18d•Onsite

About The Position

Weee! is hiring a Senior Machine Learning Engineer to develop machine learning solutions for pricing and promotional planning. The role focuses on demand forecasting and optimization, improving revenue growth, profitability, and business efficiency. The position is onsite five days a week in Fremont, California. The engineer will build end-to-end solutions using Weee!’s data, covering data exploration, model design, training, testing, deployment, monitoring, and maintenance. The role also involves collaborating with cross-functional teams to introduce machine learning innovations and using analytical, machine learning, and statistical models to identify business opportunities. The position requires a bachelor’s degree in Information Science or a related field and 24 months of qualifying professional experience. The employer will accept a suitable combination of education, training, or experience, including a bachelor’s degree or foreign equivalent in a requisite field followed by 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer, or in a machine-learning-related position.

Requirements

Bachelor’s degree in Information Science or a related field, or a suitable combination of education, training, or experience; the employer also accepts a bachelor’s degree or foreign equivalent in a requisite field followed by 24 months of qualifying experience.
At least 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer, or in a machine-learning-related position.
Two years of professional experience in deep learning model design and architecture.
Two years of professional experience in traditional machine learning for production use cases.
Two years of professional experience in time-series forecasting and decision modeling.
Two years of professional experience in multimodal and unstructured data modeling.
Two years of professional experience in representation learning, embeddings, and retrieval systems.
Two years of professional experience in generative AI and LLM applications.
Two years of professional experience in production ML infrastructure and cloud deployment.

Responsibilities

Develop and implement advanced machine learning models to improve pricing strategies and promotional effectiveness, including demand forecasting and optimization.
Build end-to-end machine learning solutions using company data, from exploration and model design through training, testing, deployment, monitoring, and maintenance.
Collaborate with cross-functional teams to introduce machine learning innovations and address optimization challenges in pricing and promotional planning.
Apply analytical skills and machine learning and statistical models to develop insights and strategies and capitalize on business opportunities.