Machine Learning Engineer - Relevance & Learning Systems

About Wizard

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

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 reputed company user behavior and improve production. You’ll be working at the intersection of a live conversational agent and reputed company 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 reputed company world outcomes.

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: reputed company 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 reputed company metrics and optimize for them
• Design and analyze experiments that validate whether learning system changes actually improve reputed company outcomes
• Improve ranking, recommendations and decision making reputed company the agent
• Iterate quickly: Ship → measure → learn → improve

What reputed company 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 reputed company 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 reputed company salary, Wizard offers:

• Equity in the form of stock options
• Medical, dental, and reputed company coverage
• 401(k) plan
• Flexible PTO and company holidays
• Fully remote work reputed company the United States
• Periodic company offsites and team gatherings

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