Machine Learning Engineer
Sumo Logic
NumpyPandasPythonScikit-Learn
Senior Machine Learning Engineer, Recommendation Systems
Launch Potato
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $130,000 - $220,000 per year
Job Level
Senior
Tech Stack
Amazon RedshiftBigQueryPythonPyTorchRaySparkSQLTensorflow
About the role
- Drive business growth by building and optimizing recommendation systems that personalize experience for millions of users daily
- Own modeling, feature engineering, data pipelines, and experimentation for personalization
- 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 <50ms across key product surfaces
- Run statistically rigorous A/B tests to measure business impact
- Optimize for latency, throughput, and cost efficiency in production
- Partner with product, engineering, and analytics teams to launch personalization features
- Implement monitoring systems and maintain ownership for model reliability
Requirements
- 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
