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Analista De Ti jobs in United States

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Manaus
Hybrid
BRL 200,000 - 300,000
30+ days ago
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Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Rio de Janeiro
Hybrid
BRL 160,000 - 200,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Curitiba
Hybrid
BRL 150,000 - 200,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Salvador
Hybrid
BRL 636,000 - 850,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Belo Horizonte
Hybrid
BRL 530,000 - 691,000
30+ days ago
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Principal Machine Learning Engineer

Launch Potato

Belo Horizonte
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer

Launch Potato

São Paulo
Hybrid
BRL 636,000 - 850,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Recife
Hybrid
BRL 583,000 - 797,000
30+ days ago
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Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Porto Alegre
Hybrid
BRL 300,000 - 400,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Curitiba
Hybrid
BRL 200,000 - 300,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

São Paulo
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Rio de Janeiro
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer, Ad Performance

Launch Potato

Porto Alegre
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Salvador
Hybrid
BRL 120,000 - 160,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

São Paulo
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer

Launch Potato

Salvador
Hybrid
BRL 160,000 - 200,000
30+ days ago

Lead Machine Learning Engineer, Recommendation Systems

Launch Potato

Manaus
Hybrid
BRL 160,000 - 200,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Belo Horizonte
Hybrid
BRL 120,000 - 160,000
30+ days ago

Assistente de Laboratório

New Wave

Duque de Caxias
On-site
BRL 20,000 - 80,000
30+ days ago

Principal Machine Learning Engineer, Recommendation Systems

Launch Potato

Porto Alegre
Hybrid
BRL 120,000 - 160,000
30+ days ago

Senior Data Scientist - Fluent English

LinkedIn Job Wrapping

São Paulo
Remote
BRL 120,000 - 150,000
30+ days ago

Data Scientist - Fluent English

LinkedIn Job Wrapping

São Paulo
Remote
BRL 160,000 - 200,000
30+ days ago

Senior Data Scientist, LLM

Xometry

Brazil
On-site
BRL 200,000 - 250,000
30+ days ago

Senior Data Engineer Brazil

LinkedIn Job Wrapping

São Paulo
Hybrid
BRL 80,000 - 120,000
30+ days ago

Data Engineer | BEES Personalization

AB InBev Growth Group

Brazil
Remote
BRL 80,000 - 120,000
30+ days ago
Principal Machine Learning Engineer, Ad Performance
Launch Potato
Manaus
Hybrid
BRL 200,000 - 300,000
Full time
30+ days ago

Job summary

A tech-driven company based in Brazil seeks a Principal Machine Learning Engineer to shape personalization strategies and solve complex ML challenges. This role involves building scalable systems to support billions of predictions, mentoring engineers, and acting as a thought leader in the ML community. Candidates should have over 10 years of experience in machine learning architecture and demonstrate a high level of industry expertise.

Qualifications

  • Proven success in driving 0→1 innovation in personalization or recommender systems.
  • 10+ years of experience in designing, developing, and deploying large-scale ML systems.

Responsibilities

  • Establish the technical vision for personalization at the company.
  • Define company-wide personalization strategy and architecture.
  • Lead cross-functional initiatives impacting business KPIs.

Skills

Expertise building ML systems with large-scale personalization
Architecting ML platforms serving billions of predictions
Mastery in deep learning, causal inference, multi-armed bandits
Job description
Principal 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.

Overview

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.

MUST HAVE
  • Expertise building ML systems with deep expertise in large-scale personalization
  • Recognized industry expertise through patents, publications, or significant product impact
  • Proven success architecting ML platforms serving billions of predictions in production
  • Demonstrated track record of 0→1 innovation in personalization or recommender systems
  • Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

EXPERIENCE: 10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

YOUR ROLE

Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.

OUTCOMES
  • Define company-wide personalization strategy and architecture, driving alignment across all ML teams
  • Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
  • Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
  • Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
  • Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
  • Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
  • Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
  • Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems
COMPETENCIES
  • Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
  • Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
  • Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
  • Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
  • Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
  • External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
  • Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

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, sexual orientation, gender identity, age, or other 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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