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From the employer's careers site First seen 24 Oct 2026 · Still live on 31 Oct 2026

Senior Machine Learning Engineer

Weee! Fremont, California On-site senior full-time

Salary

$137,093 per year

Apply on Weee!

Description

Weee! is seeking a Senior Machine Learning Engineer to join their team in Fremont, CA. The successful candidate will develop and implement advanced machine learning models to enhance pricing strategies and promotional effectiveness.

Responsibilities:

  • 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 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.

Requirements:

  • Bachelor's degree in Information Science or related fields.
  • 24 months of experience as a Quantitative Analyst, Artificial Intelligence Engineer or Machine Learning related position.
  • 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

Compensation:

  • The US base salary range for this full-time position is $137,093.
  • This role may be eligible to discretionary bonus, incentives and benefits.

Skills

Required

  • 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

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/weee/jobs/8038134003

Apply on Weee!