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Jobs in Recife, Brazil

Senior Machine Learning Engineer, Ad Performance

Launch Potato

Recife
On-site
BRL 377,000 - 540,000
22 days ago
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CBV - Vaga para Professor(a) / Letramento Digital em Inteligência Artificial

Colégio CBV

Recife
On-site
BRL 80,000 - 120,000
22 days ago

Assistente Administrativo - CAD

Rede Damas Educacional

Recife
On-site
BRL 20,000 - 80,000
22 days ago

Operador (a) de Caixa

Liebe Lingerie

Recife
On-site
BRL 80,000 - 120,000
22 days ago

Assistente de Experiência ao Cliente

Yolo Coliving Tecnologia

Recife
On-site
BRL 20,000 - 80,000
22 days ago
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Auxiliar Administrativo

RB DESENVOLVIMENTO PROFISSIONAL E GERENCIAL

Recife
On-site
BRL 20,000 - 80,000
23 days ago

Jovem Aprendiz - Colégio CBV Jaqueira

Colégio CBV

Recife
On-site
BRL 20,000 - 80,000
23 days ago

TECNICO DE SEGURANÇA DO TRABALHO JR

Grupo Direcional

Recife
On-site
BRL 120,000 - 160,000
23 days ago
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Atendente - Entre Amigos Boa Viagem

Restaurante Entre Amigos

Recife
On-site
BRL 20,000 - 80,000
23 days ago

CONSULTOR DE NEGOCIOS PL

Universidade Tiradentes

Recife
On-site
BRL 80,000 - 120,000
23 days ago

RECEPCIONISTA

Grupo ADTSA

Recife
On-site
BRL 20,000 - 80,000
23 days ago

TRABALHE CONOSCO (BANCO DE TALENTOS)

Império Móveis e Eletro

Recife
On-site
BRL 80,000 - 120,000
23 days ago

PROFESSOR AUXILIAR

Universidade Tiradentes

Recife
On-site
BRL 80,000 - 120,000
23 days ago

Gerente de Leads

ÁgilisRH

Recife
On-site
BRL 120,000 - 160,000
25 days ago

Assistente de Marketing

Baterias Moura

Recife
On-site
BRL 20,000 - 80,000
26 days ago

Recepcionista Clínica

Rodrigues Assessoria

Recife
On-site
BRL 20,000 - 80,000
26 days ago

PROMOTOR DE VENDAS- PAULISTA CENTRO NOVO ATACAREJO

Cardeal Distribuidora

Recife
On-site
BRL 20,000 - 80,000
26 days ago

ANALISTA DE ENGENHARIA CIVIL JR

Grupo Direcional

Recife
On-site
BRL 80,000 - 120,000
27 days ago

Gerente Regional de Vendas

Atex Brasil

Recife
On-site
BRL 200,000 - 250,000
27 days ago

Recepcionista

abler Vagas

Recife
On-site
BRL 20,000 - 80,000
27 days ago

AUXILIAR ADMINISTRATIVO (BASE ADMINISTRATIVA PERNAMBUCO)

Instituto Cisne Norte e Nordeste

Recife
On-site
BRL 20,000 - 80,000
27 days ago

Secretário(a) Escolar

Red House International School

Recife
On-site
BRL 400,000 +
27 days ago

Porteiro

Apoio Administrativo no Cuidado ao Paciente

Recife
On-site
BRL 20,000 - 80,000
27 days ago

Página da Vaga | Analista Contabil Pleno - Temporário

Bernhoeft

Recife
Hybrid
BRL 80,000 - 120,000
29 days ago

Operations Manager

DiDi Global

Recife
On-site
BRL 80,000 - 120,000
29 days ago

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Senior Machine Learning Engineer, Ad Performance
Launch Potato
Recife
On-site
BRL 377,000 - 540,000
Full time
22 days ago

Job summary

A dynamic tech company seeks a Senior Machine Learning Engineer to enhance ad performance through scalable ML systems. This role requires proven experience in software development and ML engineering, specifically within advertising systems. Ideal candidates will leverage cutting-edge technologies and collaborate across diverse teams to deliver measurable results. This position is remote-friendly and supports career growth in a high-performance culture.

Qualifications

  • 5+ years of software development and ML engineering.
  • 3+ years focused on advertising systems.
  • Expertise in Recommendation Systems, Advertising Algorithms, NLP, or CV.
  • Strong analytical skills with a track record of measurable results.

Responsibilities

  • Build scalable, production-ready ML systems to optimize revenue.
  • Collaborate with teams across product, data, and engineering.
  • Conduct experiments to measure model impact on business KPIs.
  • Continuously improve ETL pipelines to ensure reliable ad delivery.

Skills

Software development
Machine Learning engineering
Analytical problem-solving
Communication
Teamwork
Project management
Proficiency with Python
Experience with SQL
Knowledge of TensorFlow
Knowledge of PyTorch

Tools

TensorFlow
PyTorch
AWS
GCP
Spark
Ray
Job description
Senior 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.

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: 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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