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


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.

#J-18808-Ljbffr

Required Skill Profession

Tecnología Eléctrica Y Energética


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Unlock Your Lead ML Potential: Insight & Career Growth Guide


Real-time Lead ML Jobs Trends (Graphical Representation)

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Are You Looking for Lead ML Engineer, Recommendation Systems Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Launch Potato adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Lead ML Engineer, Recommendation Systems Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bogotá. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead ML Engineer, Recommendation Systems?

Key qualifications for Lead ML Engineer, Recommendation Systems typically include Tecnología Eléctrica Y Energética and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead ML Engineer, Recommendation Systems Job Success

Launch Potato interview tips for Lead ML Engineer, Recommendation Systems

Here are some tips to help you prepare for and ace your Lead ML Engineer, Recommendation Systems job interview:

Before the Interview:

Research: Learn about the Launch Potato's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead ML Engineer, Recommendation Systems interview at Launch Potato, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Launch Potato's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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