Wizardcommerce
Machine Learning Engineer - Relevance & Learning Systems
Remote - USA
Sponsorship not specified$225k-$280kDetected 120 days ago
PythonMachine LearningResearch
About the role
- You'll be working at the intersection of a live conversational agent and real shopping behavior - the feedback signal quality here is unusually rich compared to traditional search.
- You'll focus on turning user interactions into learning signals, designing practical feedback loops and shipping systems that continuously improve real world outcomes.
Responsibilities
- Build and productionize feedback loops that improve agent performance over time
- Build the evaluation infrastructure - offline metrics, regression suites, and experiment analysis
- Partner closely with product and engineering to define success metrics and optimize for them
- You ship quickly and drive measurable improvements in core product metrics
- You own systems end to end and operate comfortably in production
- 5-8 years hands on experience building and shipping ML systems
Requirements
- Bachelor's or Master's degree in computer science
- Experience shipping ML systems to production and have worked on recommendation systems, ranking, personalization or optimization problems
Compensation
- Fully remote work within the United States
- Periodic company offsites and team gatherings
- The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location.
- Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
- In addition to base salary, Wizard offers:
- Wizard is committed to fair, transparent, and competitive compensation practices.
Benefits
- Own the signal pipelines end-to-end: instrument events, build clean labeled datasets, and translate user behaviors into reliable learning signals
- Design lightweight reinforcement learning / bandit-style approaches where appropriate
- Design and analyze experiments that validate whether learning system changes actually improve real outcomes
- You turn noisy user behavior into reliable learning signals that improve the agent over time
- Equity in the form of stock options
- Medical, dental, and vision coverage
- Flexible PTO and company holidays
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This listing is sourced directly from Wizardcommerce's careers page and normalized into a canonical job model.