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Description:
- Design and build feedback-driven learning systems to improve AI shopping agent performance.
- Focus on turning user interactions into learning signals and creating practical feedback loops.
Requirements:
- 5-8 years of hands-on experience in building and shipping ML systems.
- Bachelor’s or Master's degree in computer science.
- Experience with recommendation systems, ranking, personalization, or optimization problems.
- Deep knowledge of Python and ML tooling.
- Pragmatic approach to problem-solving, favoring effective solutions.
Benefits:
- Base salary range of $225,000 - $280,000 USD, based on skills and experience.
- Equity in the form of stock options.
- Medical, dental, and vision coverage.
- 401(k) plan.
- Flexible PTO and company holidays.
- Fully remote work within the United States.
- Periodic company offsites and team gatherings.
Job title
Job type
Experience level
Required experience
5 years
Salary
$225,000—$280,000 / year
Degree requirement
Degree requiredSkills
Location requirements
United States
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