Machine Learning Engineer - Relevance & Learning Systems

Machine Learning Engineer - Relevance & Learning Systems

Remote - USA

Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.

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.

You’ll focus on turning user interactions into learning signals, designing practical feedback loops and shipping systems that continuously improve real world outcomes.

• Build and product ionize 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

• 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

• 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

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.

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As set forth in Wizard’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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• A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
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