Principal ML Engineer, Recommendation Systems

Remote from
Mexico flag
Mexico
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
13 Nov 2025
Experience level
Senior
Views / Applies
8 / 1

About Launch Potato

Launch Potato builds and scales innovative digital businesses.

Actively Hiring
Verified job posting
This job post has been manually reviewed for authenticity and compliance.

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.

MUST HAVE:

  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

EXPERIENCE: 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

YOUR ROLE
Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.

OUTCOMES

  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
  • Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
  • Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems

COMPETENCIES

  • Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
  • Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
  • Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
  • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
  • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
  • External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
  • Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

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.

Apply now >

Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

How to apply

Did you apply? Let us know, and we’ll help you track your application.

See a few more

Similar Data Science & Analytics remote jobs

Job Search Safety Tips

Here are some tips to help you search and apply for jobs safely:
Watch out for suspicious jobs Don't apply for jobs that offer high pay for little work or offer to hire you without an interview. Read more ›
Check the employer's profile Make sure you're applying for a trustworthy job by visiting the employer's profile and learning more about them. Read more ›
Protect your information Don't share personal details like your bank account or government-issued ID on suspicious websites or messengers. Read more ›
Report jobs that feel unsafe If you see a job that seems misleading, inappropriate or discriminatory, report it for going against our policies and we'll review it.

Share this job

Jobicy+ Subscription

Jobicy

578 professionals pay to access exclusive and experimental features on Jobicy

Free

USD $0/month

For people just getting started

  • • Unlimited applies and searches
  • • Access on web and mobile apps
  • • Weekly job alerts
  • • Access to additional tools like Bookmarks, Applications, and more

Plus

USD $8/month

Everything in Free, and:

  • • Ad-free experience
  • • Daily job alerts
  • • Personal career consultant
  • • AI-powered job advice
  • • Featured & Pinned Resume
  • • Custom Resume URL
Go to account ›