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Jobs in Curitiba, United States

Senior ML Engineer, Ad Performance

Launch Potato

São Paulo
Remote
BRL 200,000 - 250,000
Yesterday
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Senior Sales Consultant

Bluenet Solutions

Maceió
Remote
BRL 80,000 - 120,000
Yesterday
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Sap Field Service Consultant

Redleo Software Inc.

Betim
Remote
BRL 120,000 - 160,000
Yesterday
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DevOps Engineer

Encora Inc.

Nova Santa Rita
Remote
BRL 120,000 - 160,000
Yesterday
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Project Manager – Oracle & Infrastructure (Inglês Fluente)

Stefanini LATAM

Salvador
Remote
BRL 80,000 - 120,000
Yesterday
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Administrative Assistant

Virtual Latinos

Belo Horizonte
Remote
BRL 20,000 - 80,000
Yesterday
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Release Analyst (Analista De Release) - Pleno

Runtalent

Votorantim
Remote
BRL 80,000 - 120,000
Yesterday
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Analista de Produto Educacional - Aldeia Incompany

Aldeia.cc

Belém
Remote
BRL 80,000 - 120,000
Yesterday
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Studio Rx | An IPG Health Company

Timon
Remote
BRL 120,000 - 160,000
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Business Development Associate

Powertrust

Recife
Remote
BRL 160,000
Yesterday
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Xamarin-MAUI Mobile Developer

Fast Dolphin

Sapucaia do Sul
Remote
BRL 404,000 - 513,000
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Search Engine Marketing Strategist

WPP Media Studio

Natal
Remote
BRL 80,000 - 120,000
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Desenvolvedor

Kikker - Gestão de Compras e Supply Chain

Jaboatão dos Guararapes
Remote
BRL 120,000 - 160,000
Yesterday
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Accounting Team Lead

StaffRight Careers

Porto Velho
Remote
BRL 80,000 - 120,000
Yesterday
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Senior Accountant

MAVI

Olinda
Remote
BRL 120,000 - 150,000
Yesterday
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Veterinary Radiologist

SignalPET

Salvador
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BRL 80,000 - 120,000
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Marketing Cloud Consultant

Osf Digital

Cabreúva
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BRL 80,000 - 120,000
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Sustainability Professionals

Ronin Studies

Manaus
Remote
BRL 80,000 - 120,000
Yesterday
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Salesforce Sales Cloud Consultant (with CPQ Experience)

CriticalRiver Inc.

Belo Horizonte
Remote
BRL 485,000 - 648,000
Yesterday
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Analista De Suporte Bilíngue (Espanhol / Português) | Vaga Pj – 100% Remoto

Habilis

São Paulo
Remote
BRL 80,000 - 120,000
Yesterday
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Presales Operations Specialist

Indi Staffing Services

Salvador
Remote
BRL 80,000 - 120,000
Yesterday
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Escalation Manager

Palo Alto Networks

Cambé
Remote
BRL 200,000 - 260,000
Yesterday
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Mobile Developer (React Native) | Pleno / Sênior

xTracky

Barueri
Remote
BRL 120,000 - 160,000
Yesterday
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Product Manager

Pointsville

Cambé
Remote
BRL 485,000 - 648,000
Yesterday
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Lead WordPress Developer

Olly Olly

Eusébio
Remote
BRL 377,000 - 486,000
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Senior ML Engineer, Ad Performance
Launch Potato
São Paulo
Remote
BRL 200,000 - 250,000
Full time
Yesterday
Be an early applicant

Job summary

A dynamic digital media company in Brazil is seeking a Machine Learning Engineer to enhance advertising performance through scalable systems. The ideal candidate will have significant experience in software development and machine learning, focusing on advertising systems. You will collaborate with global teams to design algorithms that optimize ad targeting and revenue. This full-time role offers the chance to make a substantial impact in a fast-paced environment.

Qualifications

  • 5 years of software development and ML engineering experience.
  • 3 years focused on advertising systems.
  • Experience optimizing ad performance using ML technologies.

Responsibilities

  • Develop and scale advertising algorithms that optimize engagement and revenue.
  • Apply ML approaches to improve ad performance.
  • Build scalable infrastructure for real-time ad decision making.

Skills

Software development
ML engineering
Advertising systems
Optimization of ad performance
Machine learning frameworks
Python
SQL
Distributed data processing
Cloud infrastructure
Analytical problem-solving

Tools

TensorFlow
PyTorch
Spark
Ray
AWS
GCP
Job description
WHO ARE WE

Launch Potato is a profitable digital media company that reaches over 30M monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

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.

WHY JOIN US

At Launch Potato you’ll accelerate your career by owning outcomes, moving fast and driving impact with a global team of high‑performers.

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
  • 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)
  • 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: 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: Don’t shy from challenges and drive projects through to impact
  • Curious Innovator: Keep pace with ML/AI trends and creatively apply them to advertising
  • Analytical Problem‑Solver: 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.

Required Experience: Senior IC

Key Skills

JProfiler, Splunk, Performance Testing, Fiddler, Apache, HP Performance Center, LoadRunner, New Relic, Scalability, J2EE, Java, Scripting

Employment Type: Full Time

Experience: years

Vacancy: 1

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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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