Machine Learning Engineer

Há 4 dias

Belo Horizonte, Minas Gerais, Brasil beBeeMachine Tempo inteiro US$140.000 - US$190.000
Overview

As a highly skilled Machine Learning Engineer, you will be responsible for developing and scaling advertising algorithms to optimize engagement and revenue simultaneously. You will collaborate with global teams across product, data, and engineering to launch high-impact ad features.

Key responsibilities include applying cutting-edge ML approaches (e.g., reinforcement learning, deep learning for ranking) to improve ad performance, building scalable infrastructure to support real-time ad decisioning across millions of requests per day, and conducting rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs.

Additionally, you will work closely with the team to develop ETL pipelines and monitoring systems to ensure reliable ad delivery. This role requires strong analytical problem-solving skills, excellent communication, teamwork, and project management skills.

Must Have:

  • 5+ 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)

Benefits:

  • Elevate Launch Potato's advertising performance by building scalable, production-ready ML systems
  • Accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers
  • Collaborative environment where speed, ownership, and measurable impact drive success

Competencies:

  • Impact-Oriented: Align ML systems to business outcomes and measure what matters
  • Technical Builder: Write clean, production-ready code and architect scalable systems
  • Collaborative: Work seamlessly with global teams and communicate complex ideas clearly
  • Resilient & Determined: Drive projects through to impact without shying from challenges

Next Steps:

We encourage you to apply for this exciting opportunity to join our dynamic team. We are committed to a diverse and inclusive culture and are an Equal Employment Opportunity company.

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