Unknown Company is hiring a Senior ML Engineer, Ad Performance

Launch Potato is hiring a Senior ML Engineer, Ad Performance to elevate our advertising performance by building scalable, production-ready ML systems that optimize revenue while enhancing user experience. You will work at the intersection of advertising algorithms, personalization, and optimization to build the ML software and infrastructure that drives ad performance and user engagement at scale.

What You'll Do

• Develop and scale advertising algorithms that optimize engagement and revenue simultaneously.
• Apply ML approaches 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.

What We're Looking For

• 5+ years of software development and ML engineering.
• 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.

Technical Stack

• Languages: Python, SQL
• ML Frameworks: TensorFlow, PyTorch
• Data Processing: Spark, Ray
• Cloud Infrastructure: AWS, GCP

Team & Environment

You will collaborate with global teams across product, data, and engineering.

Work Mode

This is a remote position open to candidates in Ciudad de Mexico, Mexico.

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.