Launch Potato is looking for a Senior ML Engineer, Recommendation Systems to build and optimize systems that personalize experiences for millions of users every day. You will own the modeling, feature engineering, data pipelines, and experimentation to make our personalization smarter, faster, and more impactful.
What You'll Do
- Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale
- Enhance data processing pipelines 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 true business impact
- Optimize for latency, throughput, and cost efficiency in production
- Partner with product, engineering, and analytics to launch high-impact personalization features
- Implement monitoring systems and maintain clear ownership for model reliability
What We're Looking For
- 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 like collaborative filtering, learning-to-rank, and 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
Technical Stack
- Python, TensorFlow, PyTorch, SQL
- Snowflake, BigQuery, Redshift
- Spark, Ray, MLflow, W&B
Benefits & Compensation
- Salary: $165,000 - $215,000 per year, paid semi-monthly
Work Mode
This is a remote position open to candidates in Charleston, SC.
We are proud to be 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.
