Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Lead ML Engineer, Recommendation Systems.
Colombia Jobs Expertini

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

Lead ML Engineer, Recommendation Systems



Job description

WHO ARE WE?

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, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

We convert audience attention into action through data, machine learning, and continuous optimization.

We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands.

You’ll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys.

This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.

MUST HAVE

You’ve shipped large-scale ML systems into production that power personalization at scale.

You’re fluent in ranking algorithms and know how to turn data into engagement and conversions.

Specifically:

  • 7+ years building and scaling production ML systems with measurable business impact
  • Experience deploying ML systems serving 100M+ 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

YOUR ROLE

Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily.

You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful.

OUTCOMES

  • Build and deploy ML models serving 100M+ 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 <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

COMPETENCIES

  • Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out
  • Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B)
  • Impact-Driven: You design models that move revenue, retention, or engagement
  • Collaborative: You thrive working with engineers, PMs, and analysts to scope features
  • Analytical Thinking: You break down data trends and design rigorous test methodologies
  • Ownership Mentality: You own your models post-deployment and continuously improve them
  • Execution-Oriented: You deliver production-grade systems quickly without sacrificing rigor
  • Curious & Innovative: You stay on top of ML advances and apply them to personalization

Want to accelerate your career?

Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture.

We are proud to be an Equal Employment Opportunity company.

We value diversity, equity, and inclusion.

We do 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.

#J-18808-Ljbffr


Required Skill Profession

Tecnología Eléctrica Y Energética



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Lead ML Potential: Insight & Career Growth Guide


  • Real-time Lead ML Jobs Trends in WorkFromHome, Colombia (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead ML in WorkFromHome, Colombia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 13993 jobs in Colombia and 12236 jobs in WorkFromHome. This comprehensive analysis highlights market share and opportunities for professionals in Lead ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

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

    Great news! is currently hiring and seeking a Lead ML Engineer, Recommendation Systems to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • 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. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 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 WorkFromHome. 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. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Lead ML Engineer, Recommendation Systems?

    To improve your chances of getting hired for Lead ML Engineer, Recommendation Systems, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • 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 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.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • 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!

  • How to Set Up Job Alerts for Lead ML Engineer, Recommendation Systems Positions

    Setting up job alerts for Lead ML Engineer, Recommendation Systems is easy with Colombia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!