Machine Learning Engineer - Relevance & Learning Systems

About the role

We’re looking for a Machine Learning Engineer to design and build feedback driven learning systems that improve our AI agent over time. This is not a traditional RL research role, we’re focused on building systems that learn from real user behavior and improve production. 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.

What You’ll Do

• Build and productionize feedback loops that improve agent performance over time
• Build the evaluation infrastructure – offline metrics, regression suites, and experiment analysis
• 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
• Partner closely with product and engineering to define success metrics and optimize for them
• Design and analyze experiments that validate whether learning system changes actually improve real outcomes
• Improve ranking, recommendations and decision making within the agent
• Iterate quickly: Ship → measure → learn → improve

What Success Looks like

• You ship quickly and drive measurable improvements in core product metrics
• You turn noisy user behavior into reliable learning signals that improve the agent over time
• You own systems end to end and operate comfortably in production

Ideal Background

• 5-8 years hands on experience building and shipping ML systems
• 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
• Deep knowledge in Python and model ML tooling
• Pragmatic: you choose simple, effective solutions over theoretically perfect ones

Compensation & Benefits

• 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:
• 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

Wizard is committed to fair, transparent, and competitive compensation practices.