Senior ML Engineer, Recommendation Systems

Senior ML Engineer, Recommendation Systems at Launch Potato

Overview

Launch Potato is a profitable digital media company that reaches millions of visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with world‑class brands through data‑driven content and technology. We are headquartered in South Florida with a remote‑first team spanning over 15 countries, built around speed, ownership, and measurable impact.

Why join us? You’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high‑performers. We convert audience attention into action through data, machine learning, and continuous optimization. We are hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. You’ll design, deploy, and scale ML systems that power real‑time recommendations across millions of user journeys, with systems serving 100M+ predictions daily and a direct impact on engagement, retention, and revenue at scale.

Must have

• 5+ years building and scaling production ML systems with measurable business impact
• Experience deploying ML systems serving 100M+ predictions daily
• Strong background in ranking algorithms (collaborative filtering, learning‑to‑rank, deep learning)
• Proficiency with Python and ML frameworks (TensorFlow or PyTorch)
• Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes
• Familiarity with distributed computing (Spark, Ray) and LLM / AI Agent frameworks
• Track record of improving business KPIs via ML‑powered personalization
• Experience with A / B testing platforms and experiment logging best practices

Your role

Your mission : Drive business growth by building and optimizing the recommendation systems that personalize the experience for millions of users daily. You’ll own modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful.

Outcomes

Competencies

Equal Employment Opportunity You will be treated fairly regardless of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability status, or other legally protected characteristics.

We are an Equal Employment Opportunity company and value diversity, equity, and inclusion. We do not discriminate based on any protected characteristic as defined by applicable law.

#J-18808-Ljbffr