Launch Potato is hiring a Lead Machine Learning Engineer to build the personalization engine behind our portfolio of brands. You will design, deploy, and scale ML systems that power real-time recommendations across millions of user journeys.
What You'll Do
- Build and deploy ML models serving 100M+ predictions per day to personalize user experiences.
- 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
- 7+ 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
- Languages & Frameworks: Python, TensorFlow, PyTorch
- Data: SQL, Snowflake, BigQuery, Redshift, Spark, Ray
- MLOps: MLflow, W&B
Team & Environment
You will join a remote-first team spanning over 15 countries.
Benefits & Compensation
- Compensation: $165,000 - $215,000 per year, paid semi-monthly.
Work Mode
This is a remote position. Candidates must reside in Wichita, KS.
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.
