Lead Machine Learning Engineer, Recommendation Systems
3 weeks ago
Overview Lead Machine Learning Engineer, Recommendation Systems As The Discovery and Conversion Company, our mission is to connect consumers with the worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. WHY JOIN US? At Launch Potato, youll 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. Were hiring a Machine Learning Engineer (Recommendation Systems) to build the personalization engine behind our portfolio of brands. Youll design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale. BASE SALARY: $130,000$250,000 per year, paid semi-monthly MUST HAVE Youve shipped large-scale ML systems into production that power personalization at scale. Youre fluent in ranking algorithms and know how to turn data into engagement and conversions. Specifically: 7+ years building and scaling production ML systems with measurable business impact 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. Youll 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
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Baltimore, United States Launch Potato Full timeOverview Lead Machine Learning Engineer, Recommendation Systems As The Discovery and Conversion Company, our mission is to connect consumers with the worlds leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, weve built a high-growth, high-performance culture where...
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Lead Machine Learning Engineer
1 week ago
Baltimore, United States Capital One Full time $175,800Lead Machine Learning Engineer at Capital One summary: The Lead Machine Learning Engineer role involves designing, developing, and deploying scalable machine learning models and systems within an Agile environment. The position focuses on ensuring high availability, performance, and continuous improvement of ML applications using cloud platforms and advanced...
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Lead Machine Learning Engineer
3 weeks ago
Baltimore, United States Capital One Full timeLead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...
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Lead Machine Learning Engineer
1 week ago
Baltimore, MD, United States Capital One Full timeLead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...
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Lead Machine Learning Engineer
3 weeks ago
Baltimore, United States Capital One Full timeLead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology...
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Senior Machine Learning Engineer
3 days ago
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Lead Machine Learning Engineer
2 days ago
Baltimore, MD, United States Capital One Full timeJoin us as a Lead Machine Learning Engineer at Capital One and become an essential part of an Agile team dedicated to deploying cutting-edge machine learning applications and systems. In this role, you will engage in the technical design, development, and seamless implementation of machine learning solutions utilizing both existing and emerging technologies....
