Senior Machine Learning Engineer Recommendation...
@ Launch Potato

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

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XXXXXXXX XXXXXXXXX XXXXXXXXX***** @launchpotato.com
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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 global team, the company connects consumers with leading brands via data-driven content and technology.

Why Join Us?

At Launch Potato, you will accelerate your career by owning outcomes and driving impact with a high-performing, global team. The role focuses on converting audience attention into action through data, machine learning, and continuous optimization.

The Role: Senior Machine Learning Engineer Recommendation Systems

You will build the personalization engine behind our portfolio of brands by designing, deploying, and scaling ML systems that deliver real-time recommendations across millions of user journeys.

Key Responsibilities & Outcomes

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

Required Skills & Competencies

  • 5+ years designing and scaling production ML systems.
  • Expertise with ranking algorithms and real-time recommendations.
  • Proficient in Python with TensorFlow or PyTorch frameworks.
  • Skilled in SQL and modern data warehouse technologies.
  • Experience with distributed computing (Spark, Ray) and LLM frameworks.
  • Track record of optimizing business KPIs via ML personalization.
  • Familiarity with A/B testing platforms and best practices.

Compensation & Benefits

Base salary is set by market rates, with additional profit-sharing bonus and competitive benefits. Future increases are based on performance.

Commitment to Diversity

Launch Potato is an Equal Employment Opportunity company, committed to diversity, equity, and inclusion.

Key skills/competency

  • Machine Learning
  • Recommendation
  • Personalization
  • Ranking Algorithms
  • Data Pipelines
  • Python
  • TensorFlow
  • SQL
  • Spark
  • A/B Testing

How to Get Hired at Launch Potato

🎯 Tips for Getting Hired

  • Research Launch Potato's culture: Study mission, values, and recent news.
  • Customize your resume: Highlight scalable ML system experience.
  • Emphasize technical skills: Detail Python, TensorFlow, and SQL expertise.
  • Prepare for interviews: Practice ML algorithms and real-time systems scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Python and ML frameworks thoroughly.
Practice designing scalable ML pipelines.
Study ranking algorithms and distributed systems.
Optimize code for low-latency performance.

Behavioral Questions

Describe a challenge in deploying ML systems.
Explain team collaboration during crisis moments.
Discuss ownership of your deployed models.
Share experience with fast-paced project delivery.

Frequently Asked Questions