Lead Ml Engineer, Recommendation Systems
Há 2 dias
OverviewLead ML Engineer, Recommendation Systems at Launch Potato.
You will design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys, impacting engagement, retention, and revenue at scale.
The role focuses on building the personalization engine behind a portfolio of brands and optimizing the end-to-end recommendation pipeline.Launch Potato is a profitable digital media company with a remote-first team spanning 15+ countries.
We serve over 30M+ monthly visitors and operate brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.Must Have7+ years building and scaling production ML systems with measurable business impactExperience deploying ML systems serving 100M+ predictions dailyStrong 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 lakesFamiliarity with distributed computing (Spark, Ray) and LLM/AI Agent frameworksTrack record of improving business KPIs via ML-powered personalizationExperience with A/B testing platforms and experiment logging best practicesYour RoleYour mission: Drive business growth by building and optimizing the recommendation systems that personalize the experience for millions of users daily.
You'll own modeling, feature engineering, data pipelines, and experimentation to make personalization smarter, faster, and more impactful.OutcomesBuild and deploy ML models serving 100M+ predictions per day to personalize user experiences at scaleEnhance data processing pipelines (Spark, Beam, Dask) with efficiency and reliability improvementsDesign ranking algorithms that balance relevance, diversity, and revenueDeliver real-time personalization with latency under 50 ms across key product surfacesRun statistically rigorous A/B tests to measure true business impactOptimize for latency, throughput, and cost efficiency in productionPartner with product, engineering, and analytics to launch high-impact personalization featuresImplement monitoring systems and maintain clear ownership for model reliabilityCompetenciesTechnical Mastery: ML architecture, deployment, and tradeoffsExperimentation Infrastructure: MLflow, Weights & Biases (W&B)Impact-Driven: Models that move revenue, retention, or engagementCollaborative: Works with engineers, PMs, and analysts to scope featuresAnalytical Thinking: Designs rigorous test methodologiesOwnership Mentality: Takes ownership of models post-deploymentExecution-Oriented: Delivers production-grade systems quickly with rigorCurious & Innovative: Stays updated on ML advances and applies them to personalizationEqual Employment Opportunity: We are 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, protected veteran status, disability, or other legally protected characteristics.Job DetailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Advertising Services
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Espumoso, Brasil Launch Potato Tempo inteiroJoin to apply for the Senior ML Engineer, Recommendation Systems role at Launch PotatoGet AI-powered advice on this job and more exclusive features.OverviewLaunch 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...
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Espumoso, Brasil Launch Potato Tempo inteiroOverviewPrincipal ML Engineer, Recommendation SystemsLaunch 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...
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