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Backend + Machine Learning Engineer
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Job Title: Backend + Machine Learning Engineer (Remote LATAM)

Job Type: Full-time

Location: Remote (Latin America)

Salary: Competitive salary in USD + Equity


Full Job Description

We are building the advertising infrastructure layer for the next generation of AI-native consumer products — powering interactive brand experiences embedded directly into conversational platforms, companion apps, and immersive digital experiences.

We are looking for a Backend + Machine Learning Engineer to design and scale the intelligence systems that power real-time ad delivery and personalization across millions of daily interactions.

This is a high-ownership engineering role for someone excited to work across backend systems, machine learning infrastructure, recommendation systems, and production serving in a fast-moving startup environment.


Responsibilities

  • Design and deploy low-latency recommendation and ranking systems
  • Build scalable ML training pipelines and feature stores
  • Develop user behavior and contextual personalization models
  • Design production-grade serving systems with sub-second latency
  • Build scalable backend infrastructure for large-scale inference workloads
  • Solve challenging machine learning problems including delayed rewards, cold-start prediction, and optimization at scale
  • Collaborate closely with product and engineering leadership to define technical direction


Requirements

  • 3+ years of software engineering experience
  • Experience shipping at least one machine learning system to production
  • Strong backend engineering fundamentals
  • Experience with data pipelines and production infrastructure
  • Experience building scalable distributed systems
  • Strong Python programming skills
  • Experience with PyTorch, TensorFlow, or similar ML frameworks
  • Ability to work independently in fast-paced environments
  • Strong written and verbal English communication skills


Nice to Have

  • Experience with recommendation systems or ranking systems
  • Experience with feature stores and real-time inference systems
  • Experience processing large-scale event/data systems
  • Familiarity with adtech, optimization systems, or personalization platforms
  • Experience working at an early-stage startup



Benefits

  • Competitive USD compensation
  • Equity package
  • Fully remote work across Latin America
  • High ownership and autonomy
  • Opportunity to work on cutting-edge AI infrastructure challenges
  • Fast-moving and highly technical engineering environment 


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