Senior ML Engineer, Recommendation Systems
Launch Potato is a profitable digital media company with over 30M monthly visitors across brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. We are a remote‑first team headquartered in South Florida, spanning more than 15 countries, driving success through speed, ownership, and measurable impact.
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.
Key Responsibilities
Your mission : drive business growth by building and optimizing recommendation systems that personalize experiences for millions of users daily.
- Modeling, feature engineering, data pipelines, and experimentation for personalization.
- Deploy and scale ML models serving 100M+ predictions per day.
- Enhance data processing pipelines (Spark, Beam, Dask) for efficiency and reliability.
- Design ranking algorithms balancing relevance, diversity, and revenue.
- Deliver real‑time personalization with latency
- Run statistically rigorous A / B tests to measure business impact.
- Optimize production for latency, throughput, and cost efficiency.
- Collaborate with product, engineering, and analytics to launch high‑impact features.
- Implement monitoring and maintain ownership for model reliability.
Qualifications
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.Competencies
Technical mastery of ML architecture, deployment, and trade‑offs.Experimentation infrastructure : rapid testing and retraining (MLflow, W&B).Impact‑driven : design models moving revenue, retention, or engagement.Collaborative : work effectively with engineers, PMs, and analysts.Analytical thinking : rigorous test methodologies and data trend analysis.Ownership mentality : maintain and improve models post‑deployment.Execution‑oriented : deliver production‑grade systems quickly.Curiosity & innovation : stay on top of ML advances and apply them.Seniority Level
Mid‑Senior Level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Advertising Services
Equal Opportunity Employer
Launch Potato is 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.
Apply Now
Want to accelerate your career? Apply now for the Senior ML Engineer, Recommendation Systems role.
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