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Urgent! Senior ML Engineer, Recommendation Systems Job Opening In Brasil – Now Hiring Launch Potato
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 convert audience attention into action through data, machine learning, and continuous optimization.
We’re hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands.
You’ll design, deploy, and scale ML systems that power real‑time recommendations across millions of user journeys, serving 100M predictions daily.
MUST HAVE You’ve shipped large‑scale ML systems into production that power personalization at scale.
You’re fluent in ranking algorithms and know how to turn data into engagement and conversions.
Specifically: 5 years building and scaling production ML systems with measurable business impact Experience deploying ML systems serving 100M predictions daily Strong background in ranking algorithms (collaborative filtering, learning‑to‑rank, deep learning) Proficiency with Python and ML frameworks (TensorFlow or PyTorch) Skilled with SQL and modern data warehouses (Snowflake, BigQuery, Redshift) plus data lakes Familiarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworks Track record of improving business KPIs via ML‑powered personalization Experience with A/B testing platforms and experiment logging best practices YOUR ROLE Your mission: Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily.
You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful.
OUTCOMES Build and deploy ML models serving 100M predictions per day to personalize user experiences at scale Enhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvements Design ranking algorithms that balance relevance, diversity, and revenue Deliver real‑time personalization with latency Run statistically rigorous A/B tests to measure true business impact Optimize for latency, throughput, and cost efficiency in production Partner with product, engineering, and analytics to launch high‑impact personalization features Implement monitoring systems and maintain clear ownership for model reliability COMPETENCIES Technical Mastery: You know ML architecture, deployment, and tradeoffs inside out Experimentation Infrastructure: You set up systems for rapid testing and retraining (MLflow, W&B) Impact‑Driven: You design models that move revenue, retention, or engagement Collaborative: You thrive working with engineers, PMs, and analysts to scope features Analytical Thinking: You break down data trends and design rigorous test methodologies Ownership Mentality: You own your models post‑deployment and continuously improve them Execution‑Oriented: You deliver production‑grade systems quickly without sacrificing rigor Curious & Innovative: You stay on top of ML advances and apply them to personalization 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.
Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries Advertising Services J-18808-Ljbffr
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Unlock Your Senior ML Potential: Insight & Career Growth Guide
Real-time Senior ML Jobs Trends in Brasil, Brazil (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior ML in Brasil, Brazil using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5946 jobs in Brazil and 2668 jobs in Brasil. This comprehensive analysis highlights market share and opportunities for professionals in Senior ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Launch Potato is currently hiring and seeking a Senior ML Engineer, Recommendation Systems to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior ML Engineer, Recommendation Systems Jobs Brasil.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Launch Potato adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior ML Engineer, Recommendation Systems Jobs Brazil varies, but the pay scale is rated "Standard" in Brasil. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior ML Engineer, Recommendation Systems typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior ML Engineer, Recommendation Systems interview at Launch Potato, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Launch Potato's products or services and be prepared to discuss how you can contribute to their success.
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