Senior Machine Learning Engineer Recommendation...
@ Launch Potato

Hybrid
$175,000
Hybrid
Full Time
Posted 7 hours ago

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Job Details

About Launch Potato

Launch Potato is a profitable digital media company reaching over 30M+ monthly visitors. Our brands include FinanceBuzz, All About Cookies, and OnlyInYourState. We connect consumers with top brands through data-driven content and technology. Headquartered in South Florida, our remote-first team spans over 15 countries.

Why Join Us?

At Launch Potato, you will accelerate your career by owning outcomes, moving fast, and driving impact with a global team. We convert audience attention into action via data, machine learning, and continuous optimization.

Your Role

As a Senior Machine Learning Engineer Recommendation Systems, you will build, deploy, and scale ML systems that power real-time, personalized recommendations across millions of user journeys. Your work will directly impact engagement, retention, and revenue by serving 100M+ predictions daily.

Key Responsibilities

  • Build and deploy ML models serving 100M+ predictions per day
  • Enhance and optimize data pipelines (Spark, Beam, Dask)
  • Design ranking algorithms balancing relevance, diversity, and revenue
  • Deliver real-time personalization with latency under 50ms
  • Run statistically rigorous A/B tests to validate business impact
  • Collaborate with product, engineering, and analytics teams
  • Implement monitoring systems ensuring model reliability

Must Have Experience & Skills

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

Competencies

You demonstrate technical mastery, collaborate effectively, and carry an ownership mentality. You are analytical, experiment-oriented, and drive measurable improvements in business KPIs.

Total Compensation

Base salary is set according to market rates, coupled with profit-sharing bonuses and competitive benefits. Future salary increases are performance-driven.

Commitment to Diversity

Launch Potato is an Equal Employment Opportunity company committed to diversity, equity, and inclusion. We welcome applicants from all backgrounds.

Key skills/competency

  • Machine Learning
  • Recommendation Systems
  • Ranking Algorithms
  • Python
  • TensorFlow
  • PyTorch
  • SQL
  • Distributed Computing
  • A/B Testing
  • Data Pipelines

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Customize your resume: Highlight large-scale ML deployment skills.
  • Study Launch Potato: Research company culture and mission.
  • Showcase results: Quantify impact in prior roles.
  • Prepare for interviews: Review ML frameworks and algorithms.

📝 Interview Preparation Advice

Technical Preparation

Review TensorFlow and PyTorch documentation.
Practice building scalable ML models.
Study distributed computing frameworks basics.
Run experiments using A/B testing tools.

Behavioral Questions

Describe a time you led an ML project.
Explain handling tight deadlines under pressure.
Discuss collaboration with cross-functional teams.
Detail overcoming a technical challenge.

Frequently Asked Questions