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


Job description

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
  • 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.

#J-18808-Ljbffr

Required Skill Profession

Tecnología Eléctrica Y Energética


  • Job Details

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Unlock Your Lead ML Potential: Insight & Career Growth Guide


Real-time Lead ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead ML in WorkFromHome, Colombia, highlighting market share and opportunities for professionals in Lead ML roles.

13999 Jobs in Colombia
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12236 Jobs in Workfromhome
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Download Lead Ml Jobs Trends in Workfromhome and Colombia

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.

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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 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. 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.

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!

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