Remote (Global)

Launch Potato is hiring a Senior ML Engineer, Recommendation Systems

About the Role

Launch Potato is hiring a Senior ML Engineer, Recommendation Systems to build, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. You will directly impact engagement, retention, and revenue by serving over 100M+ predictions daily.

What You'll Do

  • Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
  • Enhance data processing pipelines with efficiency and reliability improvements.
  • Design ranking algorithms that balance relevance, diversity, and revenue.
  • Deliver real-time personalization with latency <50ms across key product surfaces.
  • Run statistically rigorous A/B tests to measure true business impact.
  • Optimize for latency, throughput, and cost efficiency in production.
  • Partner with product, engineering, and analytics to launch high-impact personalization features.
  • Implement monitoring systems and maintain clear ownership for model reliability.

What We're Looking For

  • 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, including collaborative filtering, learning-to-rank, and deep learning.
  • Proficiency with Python and ML frameworks like TensorFlow or PyTorch.
  • Skilled with SQL and modern data warehouses such as 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.

Technical Stack

  • Languages & Frameworks: Python, TensorFlow, PyTorch
  • Data & Analytics: SQL, Snowflake, BigQuery, Redshift, Spark
  • ML Ops & Infrastructure: Ray, MLflow, W&B

Team & Environment

You will partner closely with product, engineering, and analytics teams to launch high-impact features.

Benefits & Compensation

  • Compensation: $165,000 - $215,000 per year, paid semi-monthly.
  • Profit-sharing bonus.
  • Competitive benefits package.

Work Mode

This is a remote position. Candidates must be based in Salt Lake City, UT.

Launch Potato is committed to having a diverse, inclusive team and culture and does 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.

Required Skills
PythonTensorFlowPyTorchSQLSnowflakeBigQueryRedshiftSparkRayMLflowRecommendation SystemsMachine LearningData EngineeringMLOpsDistributed Computing
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About company
Launch Potato

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, its mission is to connect consumers with the world’s leading brands through data-driven content and technology.

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Posted 5 months ago