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Jobs in Brasilia, Brazil

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Salvador
Remote
BRL 160,000 - 200,000
12 days ago
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Lead Machine Learning Engineer, Ad Performance

Launch Potato

Rio de Janeiro
Remote
BRL 200,000 - 300,000
12 days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Manaus
Remote
BRL 160,000 - 200,000
12 days ago

Lead Machine Learning Engineer, Ad Performance

Launch Potato

Belo Horizonte
Remote
BRL 160,000 - 200,000
12 days ago

Senior Cloud Serverless Developer

VML Enterprise Solutions

São Paulo
Remote
BRL 120,000 - 160,000
12 days ago
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SR UX Designer Salesforce

ília

Brazil
Remote
BRL 120,000 - 160,000
12 days ago

RD Station - Pessoa Product Designer Sênior

RD Station

Brazil
Remote
BRL 80,000 - 120,000
12 days ago

Software Engineer, Android Core Product

Speechify

Brazil
Remote
BRL 756,000 - 1,081,000
12 days ago
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Lead Machine Learning Engineer, Ad Performance

Launch Potato

Brazil
Remote
BRL 648,000 - 811,000
12 days ago

SR Mobile Developer (Android & IOS)

ília

Brazil
Remote
BRL 120,000 - 160,000
12 days ago

PL Analista Salesforce Data Cloud

ília

Brazil
Remote
BRL 80,000 - 120,000
12 days ago

AUXILIAR ADMINISTRATIVO - BARUERI/SP

SGS

Barueri
Remote
BRL 20,000 - 80,000
12 days ago

[Banco de Talentos] Data Scientist PL

e-Core

Brazil
Remote
BRL 160,000 - 200,000
12 days ago

Figurinista

hub+

Porto Velho
Remote
BRL 20,000 - 80,000
12 days ago

Software Engineer, Android Core Product - Campina Grande, Brazil

Speechify

Campina Grande
Remote
BRL 432,000 - 649,000
12 days ago

Trilingual Attorney (Brazil)

First Advantage

Brazil
Remote
BRL 378,000 - 514,000
12 days ago

Senior Security Engineer LATAM

Wizdaa

Brazil
Remote
BRL 120,000 - 160,000
12 days ago

Software Engineer, Android Core Product - Niterói, Brazil

Speechify

Niterói
Remote
BRL 160,000 - 200,000
12 days ago

Software Engineer, Android Core Product - Belo Horizonte, Brazil

Speechify

Belo Horizonte
Remote
BRL 160,000 - 200,000
12 days ago

Software Engineer, Android Core Product - Vitória, Brazil

Speechify

Vitória
Remote
BRL 324,000 - 541,000
12 days ago

Business Analyst (English Speaking)

Integritas

Brazil
Remote
BRL 80,000 - 120,000
12 days ago

Consultor(a) de Vendas - CLOSERS

yan salvador de souza

Rio de Janeiro
Remote
BRL 80,000 - 120,000
12 days ago

Software Engineer, Android Core Product - Santos, Brazil

Speechify

Santos
Remote
BRL 160,000 - 200,000
12 days ago

Senior Sales Executive

Paradigm

Brazil
Remote
BRL 120,000 - 160,000
12 days ago

Software Engineer, Android Core Product - Curitiba, Brazil

Speechify

Curitiba
Remote
BRL 432,000 - 649,000
12 days ago

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Lead Machine Learning Engineer, Ad Performance
Launch Potato
Salvador
Remote
BRL 160,000 - 200,000
Full time
12 days ago

Job summary

A leading marketing technology company is seeking a Lead Machine Learning Engineer to elevate advertising performance by building scalable ML systems. The ideal candidate will have over 7 years of experience in software development and ML engineering, with a strong focus on advertising algorithms. This role offers the opportunity to work with a remote-first team, collaborating globally to drive measurable impact.

Qualifications

  • 7+ years of software development and ML engineering, including 3+ in advertising systems.
  • Experience optimizing ad performance with ML technologies.
  • Proficiency in Python, SQL, and ML frameworks.

Responsibilities

  • Develop scalable ML systems that optimize revenue and user experience.
  • Design, deploy, and refine algorithms for ad targeting.
  • Collaborate across teams to launch high-impact ad features.

Skills

Software development
Machine Learning engineering
Advertising algorithms
Python
SQL
TensorFlow
Data processing
Cloud infrastructure
Job description
Lead Machine Learning Engineer, Ad Performance

As The Discovery and Conversion Company, 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.

Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable, reliable systems that directly move revenue? If you’re eager to collaborate globally, face challenges head-on, and make substantial impact, we’re looking for you to join our dynamic team.

In this role, you’ll work at the intersection of advertising algorithms, personalization, and optimization… building the 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!

Since day one, we've been 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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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