Lead Machine Learning Engineer, Ad Performance

September 8

Apply Now
Logo of Launch Potato

Launch Potato

Media • B2C

Launch Potato is South Florida's fastest growing digital media company, founded by a group of young and ambitious individuals with a history of building successful direct-to-consumer digital businesses. Headquartered in Delray Beach, FL, Launch Potato operates with a distributed global team. The company focuses on solving complex problems with smart marketing, great engineering, data science, and fun, emphasizing its commitment to innovation and scalability.

51 - 200 employees

Founded 2015

📱 Media

👥 B2C

📋 Description

• Build the ML software and infrastructure that drives ad performance and user engagement at scale • Design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale • 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

🎯 Requirements

• 7+ 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

🏖️ Benefits

• base salary, profit-sharing bonus, and competitive benefits

Apply Now

Similar Jobs

September 5

Build, train, and deploy AWS-native ML models and MLOps for Burq's delivery logistics platform. Collaborate with engineers to scale AI-powered automation features.

AWS

Docker

DynamoDB

ETL

Python

React

Tensorflow

TypeScript

September 4

Senior ML Engineer building 3D dental machine learning and computer vision systems at Dandy. Researching SOTA generative and geometric methods and building MLOps for production.

Python

PyTorch

Tensorflow

September 3

Distinguished ML Engineer building scalable ML systems and LLM ops for Capital One Software. Lead technical adoption, mentor teams, and shape product implementations.

Airflow

AWS

Cloud

Java

Kafka

Python

Spark

SQL

Go

September 2

Lead architecture and development of large-scale ML systems for personalized care at Hims & Hers. Drive LLM/NLP and ML infrastructure adoption across teams.

AWS

Python

PyTorch

Tensorflow

August 29

Drive learning-based manipulation for Diligent Robotics' humanoid robots; design, train, and deploy multimodal models using perception and simulation.

Python

PyTorch

Tensorflow

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com