Lead Machine Learning Engineer, Ad Performance

Launch Potato; Manaus; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading tech company in Recife is seeking an experienced Machine Learning Engineer to build scalable ML systems for enhancing advertising performance. You will focus on optimizing revenue through advanced algorithms and collaborate across global teams to drive impactful features. The ideal candidate has over 7 years in software development, a strong background in ML engineering, and expertise in Python and SQL.

Qualificações

• 7+ years of software development and ML engineering experience.
• 3+ years focused on advertising systems.
• Proven experience optimizing ad performance.

Responsabilidades

• Develop and scale advertising algorithms.
• Apply advanced ML approaches to improve ad performance.
• Collaborate with global teams to launch ad features.

Conhecimentos

Software development

ML engineering

Advertising performance optimization

Analytical problem-solving

Communication skills

Teamwork

Project management

Ferramentas

Python

SQL

TensorFlow

PyTorch

Spark

Ray

AWS

GCP

Descrição da oferta de emprego

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 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.