Senior ML Engineer, Recommendation Systems
@ Launch Potato

Hybrid
$180,000
Hybrid
Full Time
Posted 23 days ago

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Job Details

About Launch Potato

Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. Headquartered in South Florida with a remote-first team spanning over 15 countries, Launch Potato is driven by speed, ownership, and measurable impact.

Why Join Us?

Accelerate your career by owning outcomes, moving fast, and driving impact. At Launch Potato, data, machine learning, and continuous optimization convert audience attention into action.

Your Role as Senior ML Engineer, Recommendation Systems

In this role, you will build the personalization engine powering recommendation systems across a portfolio of brands. You will design, deploy, and scale ML systems that deliver real-time, personalized recommendations to millions of users daily, impacting engagement, retention, and revenue.

Key Responsibilities

  • Build and deploy ML models serving 100M+ predictions daily.
  • Enhance data pipelines using Spark, Beam, or Dask.
  • Design ranking algorithms balancing relevance, diversity, and revenue.
  • Deliver real-time personalization with <50ms latency.
  • Run rigorous A/B tests to measure business impact.
  • Partner with product, engineering, and analytics teams.
  • Implement monitoring systems and own model reliability post-deployment.

Must Have Qualifications

  • 5+ years building and scaling production ML systems.
  • Experience with ML models serving 100M+ predictions daily.
  • Expertise in ranking algorithms (collaborative filtering, learning-to-rank, deep learning).
  • Proficiency in Python, TensorFlow or PyTorch.
  • Skilled with SQL and modern data warehouses like Snowflake, BigQuery, or Redshift.
  • Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks.
  • Experience with A/B testing and experiment logging best practices.

Competencies

Technical mastery, strong experimentation infrastructure, impact-driven design, collaborative work style, analytical thinking, ownership mentality, execution orientation, and a curious, innovative approach.

Compensation and Benefits

Base salary ranges from $130,000 to $220,000 per year, with profit-sharing bonuses and competitive benefits. Future increases are based on performance, not annual adjustments.

Key skills/competency

  • Machine Learning
  • Recommendation Systems
  • Ranking Algorithms
  • Python
  • TensorFlow
  • PyTorch
  • SQL
  • Distributed Computing
  • A/B Testing
  • Data Pipelines
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How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant ML system deployments and skills.
  • Research Launch Potato: Understand company culture and digital media impact.
  • Showcase projects: Detail successful recommendation engine implementations.
  • Prepare for technical interviews: Focus on ML algorithms and scalability.
  • Emphasize collaboration: Demonstrate teamwork with engineering and analytics.

📝 Interview Preparation Advice

Technical Preparation

Review ML algorithms and ranking methods.
Practice Python coding and framework usage.
Simulate high-load ML model deployment scenarios.
Study distributed computing libraries and data pipelines.

Behavioral Questions

Describe a challenging ML project.
Explain teamwork under tight deadlines.
Discuss handling multiple high-priority tasks.
Share a time you adapted quickly.

Frequently Asked Questions