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Lead Machine Learning Engineer, Ad Performance

Launch Potato

Guadalajara

A distancia

MXN 1,668,000 - 2,410,000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A high-growth tech company in Guadalajara is seeking a Lead Machine Learning Engineer to enhance advertising performance. You'll design and scale ML systems that optimize revenue and user experience while collaborating across product and engineering teams. The ideal candidate has over 7 years of experience in software development and ML engineering, focusing on advertising systems and optimization. Exceptional technical and communication skills are essential.

Formación

  • 7+ years of software development and ML engineering, including 3+ years focused on advertising systems.
  • Proven experience optimizing ad performance using both mature models and emerging ML technologies.
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV.

Responsabilidades

  • Develop and scale advertising algorithms that optimize engagement and revenue simultaneously.
  • Apply cutting-edge ML approaches to improve ad performance.
  • Build scalable infrastructure to support real-time ad decisioning across millions of requests.

Conocimientos

Software development
Machine learning engineering
Ad performance optimization
Proficiency in Python
Proficiency in SQL
Familiarity with TensorFlow
Familiarity with PyTorch
Distributed data processing
Cloud infrastructure
Analytical problem-solving
Excellent communication
Descripción del empleo
Overview

Lead Machine Learning Engineer, Ad Performance at Launch Potato. 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. We turn audience attention into action through data, machine learning, and relentless optimization. We’re looking for a Machine Learning Engineer who can bridge technical expertise and business acumen and build scalable, reliable systems that directly move revenue.

In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization—building ML software and infrastructure that drives ad performance and user engagement at scale.

Must Have

You bring both the technical depth to design and deploy complex ML systems and the business intuition to know what actually moves KPIs. Specifically:

  • 7+ years of software development and ML engineering, including 3+ years focused on advertising systems
  • Proven experience optimizing ad performance using both mature models and emerging ML technologies
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
  • Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
  • Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
  • Strong analytical problem-solving skills with a proven track record of delivering measurable results
  • Excellent communication, teamwork, and project management skills
Your Role

Your mission: Elevate Launch Potato’s advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You’ll collaborate across teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale.

Outcomes
  • Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
  • Apply cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance
  • Build scalable infrastructure to support real-time ad decisioning across millions of requests per day
  • Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
  • Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
  • Collaborate with global teams across product, data, and engineering to launch high-impact ad features
  • Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage
Competencies
  • Impact-Oriented: You align ML systems to business outcomes and measure what matters
  • Technical Builder: You write clean, production-ready code and architect scalable systems
  • Collaborative: You work seamlessly with global teams and communicate complex ideas clearly
  • Resilient & Determined: You don’t shy from challenges and drive projects through to impact
  • Curious Innovator: You keep pace with ML/AI trends and creatively apply them to advertising
  • Analytical Problem-Solver: You break down complex systems and find data-driven solutions

Want to accelerate your career? Apply now!

We are proud to be an Equal Employment Opportunity company and 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 legally protected characteristics.

Apply for this job

To apply, please submit your information and resume as requested by the posting.

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