Senior ML Engineer, Recommendation Systems

Overview

Join to apply for the Senior ML Engineer, Recommendation Systems role at Launch Potato .

Launch Potato is a profitable digital media company with 30M+ monthly visitors across brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we emphasize speed, ownership, and measurable impact.

Why Join Us

At Launch Potato, 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. You’ll build the personalization engine behind our portfolio of brands and work on systems serving 100M+ predictions daily, directly impacting 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 experiences for millions of users daily. You’ll own modeling, feature engineering, data pipelines, and experimentation to make personalization smarter, faster, and more impactful.

Outcomes

Competencies

EEO Statement

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Details

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