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Urgent! Lead ML Engineer, Recommendation Systems Job Opening In Bogotá – Now Hiring Launch Potato

Lead ML Engineer, Recommendation Systems



Job description

Lead ML Engineer, Recommendation Systems at Launch Potato

Overview

Launch Potato is a profitable digital media company that reaches over 30 M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As a discovery and conversion company, our mission is to connect consumers with the world’s leading brands through data‑driven content and technology.

Responsibilities

  • Build and deploy ML models that serve 100 M+ predictions per day to personalize user experiences at scale.

  • Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements.

  • Design ranking algorithms that balance relevance, diversity, and revenue.

  • Deliver real‑time personalization with latency <50 ms 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.

Qualifications

  • 7+ years building and scaling production ML systems with measurable business impact.

  • Experience deploying ML systems that serve 100 M+ 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.

Competencies

  • Technical Mastery: Deep knowledge of ML architecture, deployment, and tradeoffs.

  • Experimentation Infrastructure: Build systems for rapid testing and retraining (MLflow, W&B).

  • Impact‑Driven: Design models that move revenue, retention, or engagement.

  • Collaborative: Thrive working with engineers, PMs, and analysts to scope features.

  • Analytical Thinking: Break down data trends and design rigorous test methodologies.

  • Ownership Mentality: Own post‑deployment models and continuously improve them.

  • Execution‑Oriented: Deliver production‑grade systems quickly without sacrificing rigor.

  • Curious & Innovative: Stay on top of ML advances and apply them to personalization.

Equal Employment Opportunity

Launch Potato is an Equal Employment Opportunity company.

We value diversity, equity, and inclusion and do not discriminate based on protected characteristics.

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Required Skill Profession

Tecnología Eléctrica Y Energética



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