Machine Learning Engineer – Relevance & Learning Systems

🕒 March 24

🇺🇸 United States – Remote

💵 $225k - $280k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Wizard

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🛒 Retail

💰 $50M Series A on 2021-10

Artificial Intelligence • eCommerce • Retail

Wizard AI is a company that provides a tailored shopping experience powered by artificial intelligence. It offers a unique text-based service that curates product recommendations across the internet, utilizing AI models that understand user preferences to predict needs and make personalized suggestions. Wizard AI simplifies shopping by finding, ordering, and tracking products, as well as managing returns through SMS communication. This service is designed to save time and improve the convenience of online shopping by efficiently juggling product data, customer reviews, and other digital content to make informed recommendations for customers.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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